🚀 We’re Hiring : Senior Python Developer (AI / ML) – 3 to 5 Years Experience
Are you passionate about building cutting-edge AI products?
Do you enjoy experimenting with LLMs, building scalable RAG systems, and deploying real-world ML solutions?
🔍 Role : Python Developer – AI / ML
Experience : 3–5 years
Location : Turbhe, Navi Mumbai (On site)
Budget - 5lpa - 12lpa
Industry : AI | ML | LLMs | RAG Systems | Cloud
🔧 What You’ll Work On
You will join our AI / ML engineering team and contribute to building production-grade LLM solutions. Your responsibilities include :
- Developing & optimizing ML models using PyTorch / TensorFlow / Keras
- Building end-to-end LLM + RAG pipelines using LangChain / LangGraph
- Working with OpenAI, Anthropic Claude, Azure APIs
- Fine-tuning models using Hugging Face Transformers
- Implementing semantic search with embedding models + pgvector
- Working on transformer-based architectures (BERT, GPT, LLaMA, Mistral)
- Implementing evaluation & monitoring : RAGAS, LangSmith
- Developing FastAPI microservices (REST / GraphQL + WebSockets)
- Integrating vector DBs : pgvector, Pinecone, Weaviate, FAISS, Milvus
- Deploying using Docker + Kubernetes (EKS / GKE / AKS)
- Utilizing AWS services : EC2, S3, RDS, SageMaker, Lambda, CloudWatch
- Managing ML experiments : MLflow / Weights & Biases / Neptune
- Ensuring secure, robust LLM deployments
- Contributing to code reviews, AI knowledge sessions & Agile rituals
🎓 What We’re Looking For
2–5 years Python experienceHands-on with LangChain / LangGraphStrong ML / DL backgroundFastAPI expertiseExperience with pgvector & vector databasesComfortable with cloud (AWS preferred), CI / CD, & Git workflowsUnderstanding of LLM security & prompt safety✨ Bonus Skills (Good to Have)
LoRA, QLoRA, PEFT fine-tuningDistributed training, model compressionAirflow, Prefect, DagsterTerraform / CloudFormationStreamlit or GradioOpen-source contributions⭐ Why Join Us?
Work on real-world LLM applicationsExposure to advanced AI infra & MLOpsOpportunity to innovate, experiment, and deploy at scaleCollaborative team with strong learning culture