remoteonsite
Lead AI Engineer 4D - Genpact
AI Engineer
Lead AI Engineer driving large‑scale model development and agentic AI solutions on cloud platforms, architecting end‑to‑end ML pipelines and deploying cutting‑edge NLP and vision models for enterprise impact.
About the role
Key Responsibilities
- Architect, develop, and deploy large‑scale language and vision models using Python, PyTorch/TensorFlow on AWS/GCP.
- Design and maintain robust ML/AI pipelines, integrating data ingestion, feature engineering, training, and monitoring.
- Collaborate with cross‑functional teams to translate business problems into AI solutions, ensuring alignment with enterprise goals.
- Lead experimentation, hyper‑parameter tuning, and model evaluation to achieve state‑of‑the‑art performance.
- Implement MLOps best practices, including CI/CD, model versioning, and automated testing.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong focus on deep learning and large language models.
- Proficiency in Python, PyTorch/TensorFlow, and cloud AI services (AWS SageMaker, GCP Vertex AI).
- Hands‑on experience with NLP, computer vision, and reinforcement learning techniques.
- Solid understanding of MLOps principles, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Excellent problem‑solving skills and ability to communicate complex ideas to technical and non‑technical stakeholders.
Skills
pythonmachine learningdeep learningnlp