AI/ML Engineering

Strong programming experience in Python and hands-on expertise with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

Experience with data engineering (SQL, data pipelines, ETL, APIs, big data tools preferred).

Knowledge of MLOps tools (Docker, Kubernetes, MLflow, Airflow, CI/CD for ML).

Experience with cloud platforms (AWS, Azure, GCP) and deploying scalable ML solutions.

Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision (depending on project needs).

Strong problem-solving skills with the ability to convert business challenges into technical AI/ML solutions.

For Lead/Architect roles: Proven ability in team leadership, solution design, stakeholder management, and driving technical strategy.