onsite
Senior AI Engineer - Tata Consultancy Services (TCS)
AI Engineer
Lead AI engineering projects, designing and deploying advanced deep learning models using Python, TensorFlow, and PyTorch on cloud platforms, while driving MLOps practices and LLM prompt engineering.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy deep learning models (CNNs, RNNs, Transformers) using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Implement and fine‑tune large language models, applying prompt engineering techniques to solve business problems.
- Build and maintain end‑to‑end MLOps pipelines with MLflow, Kubeflow, Docker, and Kubernetes, ensuring reproducibility and scalability.
- Collaborate with cross‑functional teams to translate requirements into AI solutions, providing technical guidance and mentorship.
- Deploy AI services on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and monitor performance in production.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- 5+ years of experience in AI/ML engineering or applied data science.
- Strong proficiency in Python and deep learning frameworks.
- Hands‑on experience with MLOps tools and cloud AI services.
- Excellent leadership, problem‑solving, and communication skills.
Skills
pythontensorflowpytorchmlops