Responsibilities
AI & Machine Learning Development Design, develop, train, and deploy AI and machine learning models. Build intelligent systems using NLP, predictive analytics, and automation technologies. Develop and optimize algorithms for business applications. Fine-tune and evaluate AI models for performance and accuracy. Software Development & Integration Integrate AI models into existing applications and platforms. Develop APIs and backend services for AI functionalities. Collaborate with software engineers to ensure scalable deployment. Maintain version control and proper documentation for AI projects. Data Management Collect, clean, preprocess, and analyze structured and unstructured data. Work with large datasets and databases to support AI model training. Ensure data quality, integrity, and security standards are maintained. Research & Innovation Stay updated with emerging AI technologies, tools, and frameworks. Conduct research and proof-of-concept development for new AI initiatives. Recommend improvements and innovative AI-driven solutions. Collaboration & Reporting Work closely with business stakeholders to understand requirements. Present technical concepts and AI solutions to non-technical teams. Prepare technical documentation and project reports. Support troubleshooting and continuous improvement initiatives.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field. Proven experience in AI/ML development and software engineering. Strong programming skills in Python, Java, or similar languages. Experience with machine learning frameworks such as Tensor Flow, PyTorch, or Scikit-learn. Knowledge of APIs, cloud platforms, and database systems. Understanding of data structures, algorithms, and software architecture.

Required Skills

Analytical and problem-solving skills Critical thinking and innovation Strong communication and collaboration skills Attention to detail Project and time management Ability to work in agile environments

Preferred Skills

Experience with Generative AI and Large Language Models (LLMs). Familiarity with AI model deployment and MLOps practices. Experience with NLP, computer vision, or recommendation systems. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Certifications in AI or machine learning are a plus.