Key responsibilities include:

- Lead the end-to-end lifecycle of AI projectsfrom data acquisition to deployment and monitoring.
- Design, build, and optimize complex ML/DL models, including large-scale and generative AI solutions.
- Architect scalable and maintainable AI pipelines using MLOps tools and practices.
- Collaborate with product managers, data scientists, and engineers to align AI solutions with business needs.
- Conduct code reviews, ensure best practices, and mentor junior engineers.
- Stay updated on emerging AI trends, tools, and research to drive innovation.

Qualifications and Experience:

- Bachelor’s/Master’s degree in Computer Science, AI/ML, or related
- 5+ years of experience in AI/ML engineering or applied data science.
- Expertise in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers).
- Experience with LLMs and prompt engineering.
- Proficiency in deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
- Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Robust leadership, problem-solving, and communication skills.

📌 AI Engineer - 12th Aug (Wednesday) - 6+ Years - Virtual Interview (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata