Machine operator Jobs

We're Hiring | Service Engineer Location: Egypt Steel Tech is seeking a highly motivated Service Engineer to join our technical team. The successful candidate will be responsible for the installation, commissioning, maintenance, and repair of industrial machinery while delivering exceptional technical support to our customers. Key Responsibilities Install, commission, and test industrial machines at customer sites. Provide customer training on machine operation, maintenance, and safety procedures. Perform preventive and corrective maintenance both on-site and at the company workshop. Diagnose, troubleshoot, and repair electrical, electronic, and control system faults. Repair and test electronic printed circuit boards (PCBs) to ensure reliable machine performance. Prepare technical service reports and maintain accurate service records. Provide technical support to the sales team during customer visits, machine demonstrations, and project evaluations. Ensure high levels of customer satisfaction by delivering timely and professional technical support. Qualifications Bachelor's degree in Engineering. Major in Electronics Engineering is highly preferred; Electrical Engineering or Mechatronics will also be considered.2–6 years of hands-on experience in diagnosing, troubleshooting, and repairing electronic printed circuit boards (PCBs). Strong knowledge of electrical and electronic systems. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Customer-focused with the ability to work independently and as part of a team. Willingness to travel for customer site visits across Egypt. What We Offer Competitive salary and benefits. Professional training and career development opportunities. Opportunity to work with advanced industrial machinery and cutting-edge technologies. A dynamic and collaborative work environment. If you are passionate about technology, enjoy solving technical challenges, and are looking to advance your career in industrial automation and machinery, we encourage you to apply.

Job Description<br><br>Production Engineer (Electrical/Mechanical)"fresh graduates""<br>???? sharkia الصالحية الجديدة <br>We're Hiring | Production Engineer (Electrical /Mechanical)<br><br>We are looking for a Production Engineer to supervise production lines, ensure product quality, improve machine performance, and maintain safe, efficient operations.<br><br>Key Responsibilities:<br><br>Follow up on production plans<br><br>Monitor quality and reduce defects<br><br>Supervise machine operation & troubleshooting<br><br>Coordinate maintenance activities<br><br>Lead and train technicians and operators<br><br>Ensure safety and operational compliance<br><br>Requirements:<br><br>Electrical or Mechanical Engineering background<br><br>Strong problem-solving & leadership skills<br><br>Experience in production/manufacturing is plus<br><br>Full-time availability<br><br>Interested candidates, please send your CV on 01211558519<br><br>Job Details<br><br>Employment Full-time<br><br>Industry<br><br>International Trade and Development

Purpose:<br>Support the development, implementation, and maintenance of data science, artificial intelligence, and analytics solutions that enable data-driven decision-making and enhance operational efficiency across the Group.<br>Responsibilities:<br>Work with business stakeholders to understand business requirements and translate them into data-driven solutions, analytical models, and AI-powered products. Develop, implement, and maintain data science, machine learning, and artificial intelligence solutions, including predictive, forecasting, classification, clustering, and anomaly detection models, analytical tools, and business applications that support strategic and operational objectives. Analyse structured and unstructured data to identify trends, patterns, correlations, risks, and opportunities, and provide actionable insights and recommendations to relevant stakeholders. Apply statistical analysis, hypothesis testing, and experimentation techniques to evaluate business problems, validate assumptions, and support data-driven decision-making. Design, develop, and maintain data pipelines, datasets, and support data assets to ensure the availability, quality, integrity, and consistency of information used for analytical and AI solutions. Collaborate with technology and business teams to design, develop, deploy, monitor, and maintain data science solutions, ensuring effectiveness, scalability, and alignment with established technology, information security, and data governance standards. Evaluate the performance and effectiveness of analytical models and AI solutions, establish appropriate success measures, and implement enhancements where required. Research and evaluate emerging technologies, tools, and techniques in data science, artificial intelligence, machine learning, and advanced analytics, and recommend their adoption where appropriate. Ensure compliance with all applicable AML/CTF rules and regulations as required in the conduct of the role. Ensure timely completion of all relevant AML/CTF training provided by the Group. Ensure response to AML, CTF & sanctions inquiries in a timely manner.<br>Job Requirements:<br>Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Statistics, Mathematics, or a related field.0 – 2 years’ experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines. Strong knowledge of statistical analysis, machine learning techniques, predictive modelling, and data mining methodologies. Experience working with Python and relevant data science and machine learning frameworks. Experience working with cloud-based analytics and artificial intelligence platforms, including Azure AI Services or similar technologies. Experience in data preparation, feature engineering, data visualization, and exploratory data analysis. Familiarity with artificial intelligence technologies, including generative AI and large language models. Knowledge of relational and non-relational databases and data management principles. Understanding of software development, system integration, and deployment practices. Excellent communication skills (written, verbal, and listening). Good command of Arabic and English. Able to build partnerships and work well within a team. Ensure deliverables are always of a high quality. Able to prioritize and handle multiple assignments while meeting deadlines.<br>“Thank you for your interest in applying to EFG Holding. Due to the high volume of applications/interest, please note that we are only able to respond directly to applicants that are shortlisted for interviews.”

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<ul><li><p>Design, develop, and deploy AI and machine learning models to solve complex business challenges.</p></li><li><p>Build and implement solutions using Large Language Models (LLMs) for NLP and other AI applications.</p></li><li><p>Analyze large datasets to generate actionable insights and support data-driven decision-making.</p></li><li><p>Collaborate with cross-functional teams to integrate AI solutions into existing systems and business workflows.</p></li><li><p>Optimize and fine-tune machine learning models for accuracy, scalability, and performance.</p></li><li><p>Document AI development processes, methodologies, and best practices.</p></li><li><p>Stay up to date with the latest advancements in AI, machine learning, NLP, and data analytics technologies.</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>JOB PURPOSE Lead, stabilize and continuously improve the factory production function to achieve required safety, quality, delivery, productivity and cost objectives.<br> The role is responsible for translating demand and production plans into executable daily operations, managing manpower and production resources, ensuring stable flow across wire-harness manufacturing processes, and building disciplined shop-floor management through standards, performance data, problem solving and continuous improvement KEY RESPONSIBILITIES • Own daily production execution and achievement of agreed production targets while ensuring that volume does not override safety or product quality.<br> • Develop and execute daily, weekly and monthly production schedules in coordination with Planning, Supply Chain, Stores, Quality and Maintenance, and respond quickly to changes in demand, material availability or operating conditions.<br> • Lead and control production flow across relevant wire-harness processes including cutting, stripping, crimping, assembly, soldering/tinning where applicable, testing, final inspection interface and preparation for delivery.<br> • Plan and optimize manpower, shifts, machines, tools, workstations and other production resources according to demand, capacity and process requirements.<br> • Monitor capacity utilization, throughput, units per labor hour, cycle time versus takt time and schedule attainment; identify bottlenecks and implement corrective actions.<br> • Lead line balancing and labor optimization to improve flow, reduce waiting and unnecessary movement, and ensure effective utilization of available manpower.<br> • Establish, implement and sustain standard operating procedures, work instructions, process flow maps and standard work in coordination with Quality, Engineering and Maintenance.<br> • Ensure production is executed according to approved work instructions, product specifications, control plans and customer requirements, and stop/escalate abnormal conditions that may threaten safety, quality or delivery.<br> • Monitor scrap, rework, defects and process losses; participate with Quality and Engineering in root-cause analysis and corrective actions and ensure production actions are implemented and sustained.<br> • Monitor equipment and process downtime, coordinate recovery with Maintenance, and use downtime analysis to reduce recurring production losses and improve equipment availability.<br> • Drive Lean Manufacturing, 5S/6S, Kaizen, visual management and structured continuous-improvement activities appropriate to the factory maturity level.<br> • Monitor and control production costs, labor efficiency, overtime, consumables and avoidable process losses; lead practical cost-reduction initiatives without compromising quality or safety.<br> • Ensure material availability and disciplined material flow at production areas in coordination with Stores, Planning and Supply Chain; escalate shortages or constraints before they affect customer commitments.<br> • Control process changes and abnormal conditions through appropriate 4M discipline (Man, Machine, Material and Method) and coordinate required validation with ROLE STAGE NOTE The role is intentionally designed as a strong factory-building Production Manager position.<br> During the current stage, the manager is expected not only to maintain output but also to establish production discipline, reliable performance measurement, standard work, manpower/capacity logic and cross-functional operating routines.<br> As the factory structure matures, specialized planning, industrial engineering or process-engineering responsibilities may be further separated without changing the manager’s core accountability for production execution and performance.<br> Quality/Engineering.<br> • Support new-product introduction, process changes, new equipment, production ramp-up and capacity expansion, ensuring operational readiness before full release.<br> • Ensure effective production reporting and accurate daily/weekly/monthly performance data; use KPIs to identify gaps, assign actions and follow closure.<br> • Lead daily shop-floor performance reviews and maintain clear accountability for production gaps, recovery plans and improvement actions.<br> • Lead, coach and develop Production Supervisors, Technicians and Operators; define responsibilities, performance expectations, skills requirements and training priorities.<br> • Ensure compliance with occupational health, safety and environmental requirements within production areas and build a culture where unsafe or abnormal conditions are immediately addressed.<br> • Coordinate effectively with Quality, Maintenance, Engineering, Planning, Supply Chain, Stores and other departments to achieve overall factory objectives rather than isolated production targets.<br> • Lead significant production-improvement initiatives each year with measurable impact on productivity, capacity, quality, delivery or cost.<br> HIRING BENCHMARK / CANDIDATE PROFILE Area Benchmark Education Bachelor’s degree in Production, Industrial, Mechanical, Electrical or related Engineering discipline.<br> Experience 8–12 years of progressive manufacturing/production experience, including at least 3–5 years in a production leadership role.<br> Industry Preference Strong preference for Automotive, Wire Harness, Cable Assembly, Automotive Electrical Components or comparable labor-intensive/high-volume discrete manufacturing.<br> Wire Harness Capability Practical understanding of wire-harness production flow and key processes such as cutting, stripping, crimping, assembly, testing and related process controls.<br> Direct wire-harness experience is a major advantage.<br> Production Management Strong capability in production planning/execution, capacity and manpower planning, line balancing, bottleneck management, schedule attainment and shop-floor performance control.<br> Lean &amp; Improvement Practical experience with Lean Manufacturing, 5S/6S, Kaizen, waste reduction, standard work, visual management and structured problem solving.<br> Lean Six Sigma exposure is preferred.<br> Quality &amp; Automotive Awareness Working knowledge of manufacturing quality requirements, root-cause/corrective action, control plans and IATF 16949/ISO 9001 environment where applicable.<br> Cost &amp; Performance Strong understanding of labor efficiency, productivity, scrap/rework, downtime, conversion cost and production KPI management.<br> Systems &amp; Data Comfortable with ERP/MRP environments, production reporting, dashboards and data-based decision making.<br> Leadership Profile Strong shop-floor presence; disciplined, decisive and hands-on in management without becoming the operator; able to build teams, enforce standards, manage resistance and collaborate across functions.<br> Language Good professional English for technical documentation, customer requirements, systems and management reporting.<br> KEY PERFORMANCE INDICATORS (KPIs) • Production plan / schedule attainment • Output / throughput versus target • Labor productivity and labor efficiency • Capacity utilization and bottleneck performance • Cycle time / takt adherence where applicable • Scrap and rework rate • First-pass yield / production quality performance • Unplanned downtime and recurring production-loss reduction • On-time production completion / delivery support • Overtime and production conversion-cost control • 5S/6S and safety compliance within production • Continuous-improvement projects and verified operational impact • Production reporting accuracy and action closure • Team competency, training and supervisor performance development BENCHMARK BASIS This job description retains the factory-specific responsibilities in the existing Production Manager JD and expands them using current production-management benchmarks for automotive and wire-harness manufacturing.<br> Benchmark themes include stable flow across cutting/crimping/assembly/testing, manpower and capacity planning, line balancing, Lean/continuous improvement, safety-quality-delivery-cost management, cross-functional coordination and production performance control.<br></span> </div>

Steel Tech which one of well-known suppliers for welding machines, CNC Cutting machines, press brakes , and other machines tools is hiring Presales Engineers to expand team with need for immediate start . Job duties: · Collaborate with management team to craft the company’s vision and mission· search for new clients who might benefit from company products and maximize client potential. · following up with existing customer to enlarge long term relationships and fit their requirements · Achieving a number of daily contacts with customers through phone and emails.· Create Technical Documentation.· prepare technical presentations to demonstrate technical feature of our products.· providing sales support· Participate and preparing for marketing events such as exhibitions and conferences.· Creating and follow up social media campaigns. Job requirements : · Ability to creatively explain and present company product.· Will be preferable to have technical background with understanding in welding and machine tools · Excellent written and verbal communication skills· Excellent presentation and creativity skills· Engineering Bachelor degree · Major ( electronics – electrical , mechatronics , mechanical , Metallurgy )· Experience ( 1 up to 5 years )

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Connect to your opportunity</p><p>Data requirements gathering and client engagement. Being able to engage with the client to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team.</p><p>Data analysis and pre-processing Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization.</p><p>Algorithm Development Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability.</p><p>Model Training and Evaluation Train machine learning models using collected data. Perform testing to validate models Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy.</p><p>Data Visualization Create informative data visualizations to communicate insights effectively Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software like Tableau, Power BI.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.</p><p>10+ years of experience in data engineering / data science</p><p>Essentials: Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries. Data proficiency: Proficient in data collection, pre-processing, and analysis. Model Mastery: Proven experience in developing and fine-tuning machine learning models.</p><p>Desirables: Domain Knowledge: Familiarity with deploying ML frameworks in industry Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements. Project Leadership: Previous experience leading AI/ML initiatives.</p><p>Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness!</p><p></p></section>

<p><br></p><p><b>What You ll Do</b></p><p>What the role is about: As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams without direct people management responsibilities.</p><p>What impact this role has: Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients.</p><p>What success might look like: Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p><p>What Makes You a Qualified Candidate</p><p>Non-negotiable qualifications:</p><p>Minimum of 8 years of experience in data science, machine learning, or applied analytics.</p><p>Expertise in programming languages such as Python and SQL.</p><p>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.</p><p>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.</p><p>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.</p><p>What You ll Bring</p><p>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques.</p><p>Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries.</p><p>Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans.</p><p>Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design.</p><p>Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability.</p><p>Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices without direct people management.</p><p>Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner.</p><p>Continuous Improvement: Stay current with emerging data science, machine learning, and GenAI advancements, applying new techniques to enhance solution quality and accelerate delivery.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum of 8 years of experience in data science, machine learning, or applied analytics.</li><li>Expertise in programming languages such as Python and SQL.</li><li>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.</li><li>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.</li><li>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.</li></ul>

<p><br></p><p><b>What You ll Do</b></p><p>What the role is about: As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams without direct people management responsibilities.</p><p>What impact this role has: Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients.</p><p>What success might look like: Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p><p>What Makes You a Qualified Candidate</p><p>Non-negotiable qualifications:</p><p>Minimum of 8 years of experience in data science, machine learning, or applied analytics.</p><p>Expertise in programming languages such as Python and SQL.</p><p>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.</p><p>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.</p><p>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.</p><p>What You ll Bring</p><p>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques.</p><p>Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries.</p><p>Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans.</p><p>Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design.</p><p>Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability.</p><p>Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices without direct people management.</p><p>Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner.</p><p>Continuous Improvement: Stay current with emerging data science, machine learning, and GenAI advancements, applying new techniques to enhance solution quality and accelerate delivery.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum of 8 years of experience in data science, machine learning, or applied analytics.</li><li>Expertise in programming languages such as Python and SQL.</li><li>Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.</li><li>Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.</li><li>Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are hiring experienced Molding Technicians for an international opportunity in Egypt . Candidates must have hands-on experience in the Glass Manufacturing Industry . Key Responsibilities: Operate and monitor glass molding/IS machines. Perform machine setup and mold changeovers. Troubleshoot machine and production issues. Ensure product quality and minimize defects. Follow production targets and safety standards. Coordinate with production and maintenance teams for smooth operations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 5 years of experience in the Glass Manufacturing Industry.</li><li>Experience in glass molding, container glass, or bottle manufacturing.</li><li>Knowledge of machine setup, mold changeover, and troubleshooting.</li><li>Willing to relocate to Egypt.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Support the Data Science team in analyzing large datasets to uncover trends, patterns, and business opportunities. Assist in developing and maintaining data pipelines and ETL processes to ensure data quality and accessibility. Collaborate with cross-functional teams to understand business challenges and contribute to data-driven solutions. Perform exploratory data analysis on topics such as customer behavior, search optimization, catalog management, finance, and commercial performance. Support the development, testing, and monitoring of machine learning models and predictive analytics solutions. Write and optimize SQL queries to extract, transform, and analyze data from various sources. Contribute to data visualization and reporting initiatives to support decision-making across the business. Assist in ensuring data governance, security, and privacy best practices are followed. Stay informed about emerging trends in data science, analytics, artificial intelligence, and machine learning.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>What We Are Looking For:</h2><ul><li>A university Graduate or currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.</li><li>Strong interest in data analytics, machine learning, and solving business problems using data.</li><li>Good understanding of statistics, probability, and data analysis concepts.</li><li>Basic to intermediate proficiency in Python and SQL.</li><li>Familiarity with data manipulation libraries such as Pandas, NumPy, or similar tools.</li><li>Exposure to machine learning concepts and frameworks such as Scikit-learn, TensorFlow, or PyTorch is a plus.</li><li>Familiarity with cloud platforms (AWS, Google Cloud, or Azure) is a plus but not required.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Excellent communication skills and the ability to work collaboratively in a fast-paced environment.</li><li>Eagerness to learn, take initiative, and contribute to impactful projects.</li></ul><p></p></section>

Black Stone e IT is seeking an experienced and visionary AI Team Lead to oversee and guide our artificial intelligence initiatives. As the AI Team Lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.<br><br>Key Responsibilities:<br><br>Lead, mentor, and manage a team of AI engineers and data scientists Design and develop scalable AI models and algorithms tailored to business needs Collaborate with product managers, software developers, and business stakeholders to define AI project requirements Ensure rigorous testing, validation, and deployment of AI solutions Stay current with the latest advancements in AI, machine learning, and data science technologies Establish best practices and standards for AI development within the team Identify opportunities for AI integration to improve products and services<br><br>Requirements<br><br>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field At least 8 years of experience in AI, machine learning, or data science roles Proven leadership experience managing technical teams Strong proficiency in programming languages such as Python, R, or Java Experience with machine learning frameworks like Tensor Flow, PyTorch, or Scikit-learn Solid understanding of data processing, feature engineering, and statistical modeling Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment Excellent problem-solving, analytical, and communication skills Ability to translate complex AI concepts into actionable business solutions<br><br>Benefits<br><br>Paid Time Off Performance Bonus Training & Development

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p>Digital Virgo is looking for a <strong>Senior Web Developer</strong> to lead the production and optimization of high-performing Landing Pages (LPs) designed for <strong>Conversion Rate Optimization (CRO)</strong>. The goal is to maximize sales and margin while ensuring flawless technical execution (speed, stability, compatibility) and continuous marketing iteration (A/B testing, UX flow, wording).</p> <p>You will organize and grow the local MarTech team, manage workflows with autonomy, and serve as a central interface between regional and group stakeholders.</p> <p> <strong>Key Responsibilities</strong> </p> <p> <strong>Product &amp; Delivery</strong> </p> <ul> <li>Prioritize, plan, and deliver new LPs, variants, and market/operator adaptations with fast time-to-market and stable quality.</li> <li>Build and maintain a CRO experimentation backlog: hypotheses, variants, success criteria, A/B testing calendar.</li> <li>Standardize winning UX patterns into reusable templates, components, and QA checklists.</li> </ul> <p> <strong>Technical Excellence (Performance &amp; Quality)</strong> </p> <ul> <li>Guarantee ultra-light, high-performing pages (minimal weight, optimized requests), fully responsive and cross-device.</li> <li>Organize code reviews, systematic QA (functional + analytics), post-mortems, and incident follow-ups.</li> <li>Stay up-to-date on technical innovations (web performance, operator compatibility, security, antifraud) and benchmark competitors.</li> </ul> <p> <strong>CRO &amp; Data-Driven Optimization</strong> </p> <ul> <li>Design and execute A/B tests at scale, analyze results with the Data team, and industrialize winning variations.</li> <li>Continuously optimize copywriting, visual hierarchy, micro-interactions, and payment/consent funnels.</li> <li>Build actionable performance dashboards (per country, offer, acquisition source).</li> </ul> <p> <strong>Team Management &amp; Development</strong> </p> <ul> <li>Provide structure and clarity: rituals (daily/weekly), objectives, ownership rules, definition of done.</li> <li>Coach and develop team members: skill progression, peer programming, knowledge sharing.</li> <li>Select and manage external providers when needed (peak workloads, design, illustrations).</li> </ul> <p> <strong>Governance &amp; Communication</strong> </p> <ul> <li>Act as the daily interface with Advertising (traffic needs, iterations), Product (post-signup handoff), IT (billing, operator specs), BizOps (country priorities), and Data (tracking, modeling).</li> <li>Provide regular reporting to the Regional Operations Director (business) and the MarTech Director (methodology, standards, best practices).</li> </ul> <p> <strong>Success Metrics (Examples)</strong> </p> <ul> <li> 4 CRO experiments per month on each priority country.</li> <li>Median CR uplift on key verticals vs. baseline: +X% (to be defined per market).</li> <li>Web performance: LCP p75 </li><li>Quality: </li><li>Delivery: average turnaround from brief first LP iteration 5 working days.</li> <li>Knowledge capitalization: updated templates and playbooks with inter-country reusability.</li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong>Required Skills </strong>:</p> <ul> <li>Experienced <strong>web developer</strong> oriented towards CRO/Business, able to lead a team and drive iterative delivery.</li> <li> <strong>8-10</strong> <strong>years</strong> of overall professional experience, with at least three years of proven experience leading and managing a team.</li> <li>Proficient in <strong>vanilla JS, HTML5/CSS3, PHP</strong>, with knowledge of <strong>Memcached</strong> and API/AJAX calls.</li> <li>Strong expertise in <strong>web performance optimization</strong> (network, rendering, minimal bundling).</li> <li>Solid understanding of <strong>A/B testing and analytics</strong> (ideally Snowplow) with ability to interpret acquisition KPIs.</li> <li>Pragmatic leadership: sets the pace, makes decisions, documents, and drives alignment.</li> <li>Strong cross-functional communication, results-oriented, and highly autonomous.</li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Digital Virgo is looking for a Senior Web Developer to lead the production and optimization of high-performing Landing Pages (LPs) designed for Conversion Rate Optimization (CRO). The goal is to maximize sales and margin while ensuring flawless technical execution (speed, stability, compatibility) and continuous marketing iteration (A/B testing, UX flow, wording). You will organize and grow the local MarTech team, manage workflows with autonomy, and serve as a central interface between regional and group stakeholders.</p><p>Key Responsibilities</p><ul><li>Product &amp; Delivery<ul><li>Prioritize, plan, and deliver new LPs, variants, and market/operator adaptations with fast time-to-market and stable quality.</li><li>Build and maintain a CRO experimentation backlog: hypotheses, variants, success criteria, A/B testing calendar.</li><li>Standardize winning UX patterns into reusable templates, components, and QA checklists.</li></ul></li><li>Technical Excellence (Performance &amp; Quality)<ul><li>Guarantee ultra-light, high-performing pages (minimal weight, optimized requests), fully responsive and cross-device.</li><li>Organize code reviews, systematic QA (functional + analytics), post-mortems, and incident follow-ups.</li><li>Stay up-to-date on technical innovations (web performance, operator compatibility, security, antifraud) and benchmark competitors.</li></ul></li><li>CRO &amp; Data-Driven Optimization<ul><li>Design and execute A/B tests at scale, analyze results with the Data team, and industrialize winning variations.</li><li>Continuously optimize copywriting, visual hierarchy, micro-interactions, and payment/consent funnels.</li><li>Build actionable performance dashboards (per country, offer, acquisition source).</li></ul></li><li>Team Management &amp; Development<ul><li>Provide structure and clarity: rituals (daily/weekly), objectives, ownership rules, definition of done.</li><li>Coach and develop team members: skill progression, peer programming, knowledge sharing.</li><li>Select and manage external providers when needed (peak workloads, design, illustrations).</li></ul></li><li>Governance &amp; Communication<ul><li>Act as the daily interface with Advertising (traffic needs, iterations), Product (post-signup handoff), IT (billing, operator specs), BizOps (country priorities), and Data (tracking, modeling).</li><li>Provide regular reporting to the Regional Operations Director (business) and the MarTech Director (methodology, standards, best practices).</li></ul></li><li>Success Metrics (Examples)<ul><li>4 CRO experiments per month on each priority country.</li><li>Median CR uplift on key verticals vs. baseline: +X% (to be defined per market).</li><li>Web performance: LCP p75</li><li>Quality: Delivery: average turnaround from brief first LP iteration 5 working days.</li><li>Knowledge capitalization: updated templates and playbooks with inter-country reusability.</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Skills : Experienced web developer oriented towards CRO/Business, able to lead a team and drive iterative delivery. 8-10 years of overall professional experience, with at least three years of proven experience leading and managing a team. Proficient in vanilla JS, HTML5/CSS3, PHP , with knowledge of Memcached and API/AJAX calls. Strong expertise in web performance optimization (network, rendering, minimal bundling). Solid understanding of A/B testing and analytics (ideally Snowplow) with ability to interpret acquisition KPIs. Pragmatic leadership: sets the pace, makes decisions, documents, and drives alignment. Strong cross-functional communication, results-oriented, and highly autonomous.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Digital Virgo is looking for a Senior Web Developer to lead the production and optimization of high-performing Landing Pages (LPs) designed for Conversion Rate Optimization (CRO) . The goal is to maximize sales and margin while ensuring flawless technical execution (speed, stability, compatibility) and continuous marketing iteration (A/B testing, UX flow, wording). You will organize and grow the local MarTech team, manage workflows with autonomy, and serve as a central interface between regional and group stakeholders.</p><p>Key Responsibilities</p><p>Product &amp; Delivery</p><ul><li>Prioritize, plan, and deliver new LPs, variants, and market/operator adaptations with fast time-to-market and stable quality.</li><li>Build and maintain a CRO experimentation backlog: hypotheses, variants, success criteria, A/B testing calendar.</li><li>Standardize winning UX patterns into reusable templates, components, and QA checklists.</li></ul><p>Technical Excellence (Performance &amp; Quality)</p><ul><li>Guarantee ultra-light, high-performing pages (minimal weight, optimized requests), fully responsive and cross-device.</li><li>Organize code reviews, systematic QA (functional + analytics), post-mortems, and incident follow-ups.</li><li>Stay up-to-date on technical innovations (web performance, operator compatibility, security, antifraud) and benchmark competitors.</li></ul><p>CRO &amp; Data-Driven Optimization</p><ul><li>Design and execute A/B tests at scale, analyze results with the Data team, and industrialize winning variations.</li><li>Continuously optimize copywriting, visual hierarchy, micro-interactions, and payment/consent funnels.</li><li>Build actionable performance dashboards (per country, offer, acquisition source).</li></ul><p>Team Management &amp; Development</p><ul><li>Provide structure and clarity: rituals (daily/weekly), objectives, ownership rules, definition of done.</li><li>Coach and develop team members: skill progression, peer programming, knowledge sharing.</li><li>Select and manage external providers when needed (peak workloads, design, illustrations).</li></ul><p>Governance &amp; Communication</p><ul><li>Act as the daily interface with Advertising (traffic needs, iterations), Product (post-signup handoff), IT (billing, operator specs), BizOps (country priorities), and Data (tracking, modeling).</li><li>Provide regular reporting to the Regional Operations Director (business) and the MarTech Director (methodology, standards, best practices).</li></ul><p>Success Metrics (Examples)</p><ul><li>4 CRO experiments per month on each priority country.</li><li>Median CR uplift on key verticals vs. baseline: +X% (to be defined per market).</li><li>Web performance: LCP p75</li><li>Quality: Delivery: average turnaround from brief first LP iteration 5 working days.</li><li>Knowledge capitalization: updated templates and playbooks with inter-country reusability.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Skills : Experienced web developer oriented towards CRO/Business, able to lead a team and drive iterative delivery. 8-10 years of overall professional experience, with at least three years of proven experience leading and managing a team. Proficient in vanilla JS, HTML5/CSS3, PHP , with knowledge of Memcached and API/AJAX calls. Strong expertise in web performance optimization (network, rendering, minimal bundling). Solid understanding of A/B testing and analytics (ideally Snowplow) with ability to interpret acquisition KPIs. Pragmatic leadership: sets the pace, makes decisions, documents, and drives alignment. Strong cross-functional communication, results-oriented, and highly autonomous.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Digital Virgo is looking for a Senior Web Developer to lead the production and optimization of high-performing Landing Pages (LPs) designed for Conversion Rate Optimization (CRO) . The goal is to maximize sales and margin while ensuring flawless technical execution (speed, stability, compatibility) and continuous marketing iteration (A/B testing, UX flow, wording). You will organize and grow the local MarTech team, manage workflows with autonomy, and serve as a central interface between regional and group stakeholders.</p><p>Key Responsibilities</p><p>Product &amp; Delivery</p><ul><li>Prioritize, plan, and deliver new LPs, variants, and market/operator adaptations with fast time-to-market and stable quality.</li><li>Build and maintain a CRO experimentation backlog: hypotheses, variants, success criteria, A/B testing calendar.</li><li>Standardize winning UX patterns into reusable templates, components, and QA checklists.</li></ul><p>Technical Excellence (Performance &amp; Quality)</p><ul><li>Guarantee ultra-light, high-performing pages (minimal weight, optimized requests), fully responsive and cross-device.</li><li>Organize code reviews, systematic QA (functional + analytics), post-mortems, and incident follow-ups.</li><li>Stay up-to-date on technical innovations (web performance, operator compatibility, security, antifraud) and benchmark competitors.</li></ul><p>CRO &amp; Data-Driven Optimization</p><ul><li>Design and execute A/B tests at scale, analyze results with the Data team, and industrialize winning variations.</li><li>Continuously optimize copywriting, visual hierarchy, micro-interactions, and payment/consent funnels.</li><li>Build actionable performance dashboards (per country, offer, acquisition source).</li></ul><p>Team Management &amp; Development</p><ul><li>Provide structure and clarity: rituals (daily/weekly), objectives, ownership rules, definition of done.</li><li>Coach and develop team members: skill progression, peer programming, knowledge sharing.</li><li>Select and manage external providers when needed (peak workloads, design, illustrations).</li></ul><p>Governance &amp; Communication</p><ul><li>Act as the daily interface with Advertising (traffic needs, iterations), Product (post-signup handoff), IT (billing, operator specs), BizOps (country priorities), and Data (tracking, modeling).</li><li>Provide regular reporting to the Regional Operations Director (business) and the MarTech Director (methodology, standards, best practices).</li></ul><p>Success Metrics (Examples)</p><ul><li>4 CRO experiments per month on each priority country.</li><li>Median CR uplift on key verticals vs. baseline: +X% (to be defined per market).</li><li>Web performance: LCP p75</li><li>Quality: Delivery: average turnaround from brief first LP iteration 5 working days.</li><li>Knowledge capitalization: updated templates and playbooks with inter-country reusability.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Skills : Experienced web developer oriented towards CRO/Business, able to lead a team and drive iterative delivery. 8-10 years of overall professional experience, with at least three years of proven experience leading and managing a team. Proficient in vanilla JS, HTML5/CSS3, PHP , with knowledge of Memcached and API/AJAX calls. Strong expertise in web performance optimization (network, rendering, minimal bundling). Solid understanding of A/B testing and analytics (ideally Snowplow) with ability to interpret acquisition KPIs. Pragmatic leadership: sets the pace, makes decisions, documents, and drives alignment. Strong cross-functional communication, results-oriented, and highly autonomous.</p><p></p></section>