
AI/ML Developer
2 weeks ago
Experience:
3–5 years (hands-on AI/ML)
Location:
Thane
Role Overview
We are looking for an AI/ML Developer with strong practical expertise in modern AI stacks. You will design, train, and deploy models, build LLM-powered applications, and work on scalable AI solutions.
Core Technical Skills
- Programming:
Strong Python, good knowledge of data structures & algorithms. - AI/ML Frameworks:
PyTorch / TensorFlow, Hugging Face Transformers, scikit-learn. - LLMs & NLP:
Fine-tuning, embeddings, tokenization, prompt engineering, vector databases (Pinecone, Weaviate, FAISS). - RAG Architectures:
Building retrieval-augmented systems with LangChain/LlamaIndex. - Model Ops:
MLOps tools (MLflow, Weights & Biases, Kubeflow) for experiment tracking, deployment, and monitoring. - Data Handling:
Pandas, NumPy, Spark (preferred), time-series modeling. - Cloud & Deployment:
Model serving via REST/gRPC, Docker, Kubernetes, deployment on AWS Sagemaker / Azure ML / GCP Vertex AI. - Multi-Agent Systems:
Familiarity with MCP/ACP, agent frameworks, orchestration patterns. - Database Skills:
SQL + NoSQL, vector stores, knowledge graph integration. - API & Integration:
Ability to wrap models into APIs/microservices.
Nice to Have
- Experience with reinforcement learning (RLHF, PPO).
- Exposure to optimization problems (scheduling, forecasting).
- Domain knowledge in
energy trading / financial systems
.
Ideal Candidate
- Hands-on builder with a proven record of delivering
working AI tools, not just research
. - Strong software engineering discipline (Git, CI/CD, testing).
- Able to evaluate new models and frameworks quickly and adapt them for enterprise use
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