- Strong programming in Python with hands-on Django/Flask experience.

- Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision (TensorFlow/PyTorch, scikit-learn).

- Familiarity with Generative AI, LangChain, RAG, LLMs preferred.

- Knowledge of SQL/NoSQL databases, API development, and data visualization (Power BI/Tableau).

- Experience with MLOps/DevOps tools Docker, Kubernetes, MLflow, Git, Azure.

- Strong analytical, problem-solving, and communication skills.

- Degree in Data Science, Computer Science, or related field (Masters preferred).

Responsibilities :

- Develop, deploy, and maintain AI/ML models using Python and Django.

- Build scalable data pipelines and APIs integrating ML models into production.

- Work across domains such as NLP, Computer Vision, and Generative AI for real-world solutions.

- Perform data preprocessing, model training, and performance tuning.

- Collaborate with cross-functional teams for AI product development and insights.

- Automate workflows and ensure robust, reproducible, and efficient ML systems.

- Implement MLOps practices (Docker, MLflow, Kubernetes, Azure).

- Document model architectures, maintain version control, and support deployment.

- Should be comfortable with working in US Shift.