Senior AIML Engineer

About the role

Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. AI/ML Engineers code and develop software that deploys ML models and algorithms in production.

What you'll do

• 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)

What you need

• 8–14 yrs of experience
• Machine learning
• NLP
• LLMs
• Docker
• MLOps
• Data structures
• B.Tech or B.E. or B.Sc or BCA

Good to have

• CI/CD
• FastAPI
• PyTorch
• TensorFlow
• Prototyping
• Flask