Primary Responsibilities:
- Research Development
- Lead applied research in LLMs, generative AI, and multimodal models
- Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation)
- Publish internal whitepapers and contribute to external conferences where applicable
- Engineering Implementation
- Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow
- Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring)
- Tooling Infrastructure
- Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers
- Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment
- Architecture Strategy
- Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops




- Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3
- Mentorship Collaboration
- Mentor junior engineers and researchers
- Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders

Required Qualifications:
- Bachelor''s degree or equivalent experience
- Bachelor''s or Relavant in Computer Science, Machine Learning, or related field
- 8+ years of experience in AIML engineering and research
- Experience with experiment tracking tools (e.g., Weights Biases, MLflow)
- Hands-on experiecce with MLOps, model deployment, and monitoring
- Familiarity with AIML governance, ethics, and responsible AI practices
- Proven expertise in LLMs, generative AI, and deep learning
- Proven solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)

📌 Senior AI/ML Engineer (Bengaluru)
🏢 Optum
📍 Bengaluru