AI/ML Engineer
Posted Updated
Description
Title: Senior AI/ML Engineer
Experience: 5+ Years
Location: Pune, India (Work From Office)
Salary: Best in Industry
Employment Type: Full-Time
Work Mode: Work From Office (Pune)
Job Summary
We are looking for a Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG systems, and production-grade machine learning. The candidate will design, develop, deploy, and optimize AI-powered applications and scalable ML solutions.
Key Responsibilities
- Develop AI/ML and Generative AI applications.
- Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc.
- Create RAG pipelines using vector databases.
- Implement AI agents, prompt engineering, and workflow automation.
- Design scalable ML pipelines and production AI services.
- Deploy and monitor models using MLOps best practices.
- Collaborate with cross-functional teams to deliver AI solutions.
- Optimize model performance, scalability, and infrastructure costs.
Required Skills
- Python, PyTorch, TensorFlow, Scikit-learn
- Hugging Face, LangChain, LlamaIndex
- OpenAI APIs and LLM frameworks
- RAG, AI Agents, Chatbots, NLP, Deep Learning
- Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus
- Cloud Platforms: AWS, Azure, or GCP
- Docker, Kubernetes, MLflow, Airflow, CI/CD
- FastAPI or Flask
- PostgreSQL, MongoDB, Redis
Preferred Qualifications
- Bachelor's/Master's degree in CS, AI, ML, or related field
- 5+ years in AI/ML Engineering
- 2+ years in Generative AI/LLM development
- Experience deploying AI systems at scale
Nice to Have
- CrewAI, AutoGen, LangGraph, Haystack
- Ollama, vLLM, ONNX, TensorRT
- Experience with Voice AI, Computer Vision, or Multimodal AI
Skills: openair, Python, gen AI, MLflow, FastAPI, rag, nlp, ml
Skills
- Agentic AI
- AI
- Airflow
- API
- AutoGen
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- CrewAI
- Deep Learning
- Docker
- FAISS
- FastAPI
- Flask
- GCP
- Generative AI
- Hugging Face
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- Milvus
- MLflow
- MLOps
- MongoDB
- NLP
- Ollama
- ONNX
- OpenAI
- Pinecone
- PostgreSQL
- Prompt Engineering
- Python
- PyTorch
- RAG
- Redis
- scikit-learn
- TensorFlow
- TensorRT
- Vector Databases
- vLLM
- Weaviate