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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team.<br> This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment.<br> You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br> Key responsibilities include: Assisting in the design and implementation of machine learning models under the guidance of senior engineers.<br> Conducting data cleaning and preprocessing to prepare datasets for training models.<br> Supporting the evaluation and fine-tuning of machine learning algorithms.<br> Collaborating with cross-functional teams to understand project requirements and objectives.<br> Documenting processes, model training, and outcomes clearly and comprehensively.<br> Staying updated with industry trends and best practices in machine learning and AI.<br> Participating in team meetings and contributing to brainstorming sessions.<br> Hybrid working model Social and medical insurance Transportation Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic understanding of machine learning concepts and algorithms.<br> Familiarity with programming languages such as Python or R, and experience with ML libraries (e.<br>g., scikit-learn, TensorFlow, or Keras).<br> Experience with data manipulation and analysis tools such as Pandas and NumPy.<br> Strong analytical and problem-solving skills.<br> Good communication skills and the ability to work effectively in a team environment.<br> Enthusiasm for learning new technologies and techniques in AI/ML.<br> Internship or project experience in machine learning or data analysis is a plus.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Technical Lead – AI &amp; Machine Learning<br><br><b>Job Description:</b><span>Position Overview</span><p><span>As the <b>Technical Lead – AI &amp; Machine Learning</b> at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists.</span></p><br><br><p><span>You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.</span></p><br><br><p><span>As the technical lead for project execution, you will collaborate closely with software engineering, product management, and data engineering teams to ensure AI solutions are delivered with high quality, scalability, and business impact while mentoring engineers and promoting engineering best practices.</span></p><br><br><span>Key Responsibilities</span><span>Technical Execution</span><ul><li><span>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</span></li><li><span>Translate product and AI leadership vision into scalable technical solutions.</span></li><li><span>Drive engineering best practices, code quality, documentation, and software design across AI projects.</span></li><li><span>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</span></li></ul><span>Machine Learning &amp; Deep Learning</span><ul><li><span>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</span></li><li><span>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</span></li><li><span>Fine-tune transformer models and other deep learning architectures using modern training techniques.</span></li></ul><span>Generative AI &amp; Intelligent Systems</span><ul><li><span>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</span></li><li><span>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</span></li><li><span>Evaluate new AI technologies and recommend practical adoption opportunities.</span></li><li><span>Deploy and maintain AI models in production environments.</span></li></ul><span>Production AI &amp; MLOps</span><ul><li><span>Ensure AI systems are reliable, secure, efficient, and maintainable.</span></li></ul><span>Mentorship &amp; Innovation&nbsp;</span><ul><li><span>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</span></li><li><span>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</span></li><li><span>Support technical interviews and onboarding of new team members.</span></li><li><span>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</span></li></ul><span>Qualifications</span><ul><li><span>6+ years of experience developing and deploying production AI and machine learning solutions.</span></li><li><span>Demonstrated experience leading the technical implementation of AI/ML projects.</span></li><li><span>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</span></li><li><span>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</span></li><li><span>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</span></li><li><span>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</span></li><li><span>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</span></li></ul><p><span><b>Preferred Qualifications</b></span></p><br><br><ul><li><span>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</span></li><li><span>Experience deploying AI services using cloud platforms and modern software engineering practices.</span></li><li><span>Familiarity with vector databases, search technologies, and MLOps practices.</span></li></ul><br><br><b>Location:</b>EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)<br><br><b>Time Type:</b>Full time<br><b>Job Category:</b>Information Technology<br> </div>