- Senior AI ML Engineer Python Developer Location Hyderabad Experience 4-6 years Department AI Platform Engineering Type Full-Time Core Product Team 1 Role Overview We are looking for a highly skilled Senior AI ML Engineer with strong Python expertise to build AI-first capabilities for our Unified Intelligent Digital Health Platform This role blends deep AI ML expertise with production-grade Python development You will drive innovative GenAI RAG-based assistants predictive health models and scalable backend services that power personalized digital health experiences for millions of users You will work across NLP LLMs clinical ontology models knowledge graphs vector search Inference engine ML microservices and event-driven pipelines within a multi-tenant secure healthcare-grade cloud platform 2 Key Responsibilities A AI ML Engineering Core Responsibility Model Development Research Design train and optimize ML DL models for Women s health preventive health analytics risk prediction NLP symptom extraction clinical summarization entity recognition LLM-based conversational agents health companion bots Recommendation systems care plans lifestyle recommendations Generative AI RAG Systems Build domain-specific LLM applications with Retrieval-Augmented Generation RAG Vector DBs Pinecone Qdrant Weaviate Knowledge graphs semantic search Custom embedding pipelines for medical corpora Production ML Systems Develop and deploy scalable ML microservices using Python FastAPI Implement MLOps MLflow Kubeflow Airflow SageMaker ZenML Model monitoring drift detection and real-time inference optimization Data Engineering Collaboration Partner with data engineers to build feature stores ETL pipelines and curated datasets Ensure data quality privacy and compliance HIPAA-like PHI PII masking B Python Development Backend Platform Services Backend Engineering Build Python-based microservices using FastAPI Flask or Django Implement health data workflows rule engines device integration adapters and secure APIs Contribute to synchronous and event-driven architectures Kafka AWS SNS SQS System Architecture Scaling Design modular backend components for a multi-tenant SaaS health platform Implement authentication RBAC audit logs quota management and platform observability Data Handling Storage Work with SQL NoSQL PostgreSQL MongoDB S3 caching layers Redis time-series DBs Optimize performance for ingestion transformations and retrieval DevOps Cloud Good to Have Work on containerized deployments Docker Kubernetes Helm Build CI CD automation for AI and backend services Deploy and optimize workloads on AWS 3 Required Skills Qualifications Core Technical Skills Excellent Python development skills OOP async programming design patterns Deep understanding of ML DL algorithms Transformers embeddings NLP pipelines Time-series forecasting Classification clustering recommendation models Experience with frameworks PyTorch TensorFlow scikit-learn HuggingFace LangChain Strong background in GenAI LLM integration RAG systems vector databases Model optimization quantization and inference efficiency Experience with REST APIs microservices and ML microservices Strong experience with AWS SageMaker Lambda S3 EC2 IAM Data Platform Skills SQL NoSQL Parquet data modeling Data pipelines ETL ELT streaming API Gateway and secure API design Experience with healthcare clinical datasets is a plus ICD-10 FHIR SNOMED CT medical ontologies Soft Skills Strong analytical thinking and problem-solving Excellent communication explain AI to product clinical and engineering teams Ownership mindset startup adaptability Ability to work cross-functionally with design product and engineering 4 Preferred Experience Bonus but Not Mandatory Experience in digital health wellness FemTech Building RAG LLM-based health assistants Exposure to clinical workflows and regulatory frameworks HIPAA GDPR Experience with multi-tenant SaaS platforms Prior startup experience or research publications Contributions to patents open-source or internal innovation initiatives 5 Education B Tech M Tech MS PhD in Computer Science AI ML Data Science or related fields Equivalent industry experience is also considered 6 What You Will Get Opportunity to shape the AI backbone of a next-gen Intelligent Digital Health Platform Work on LLMs SLMs RAG predictive health models and real-time analytics High ownership visibility and ESOP opportunities Collaborative culture with a focus on research experimentation and product impact Job Type Full-time Pay 1 200 000 00 - 2 000 000 00 per year Advantages Health insurance Leave encashment Paid time off Work Location In person