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 (India)
🏢 Optum
📍 India