Job Title: Data Scientist / AI Engineer - GenAI & Advanced ML
Experience: 23 Years
Location: Mumbai (On-site / Hybrid)
Role Overview
We are looking for a hands-on Data Scientist / AI Engineer with 2-3 years of experience building and deploying real-world AI/ML and LLM-driven GenAI solutions on large-scale datasets. This is a delivery focused role - the expectation is that you've already worked on LLM-based applications beyond prototypes and understand how to take AI systems into production.
You will work on high-scale data, production ML pipelines, and GenAI-powered features across analytics and intelligent applications.
Key Responsibilities
- Design, build, and deploy LLM-based and GenAI solutions for production use cases
- Develop RAG pipelines, LLM workflows, and AI-powered assistants
- Perform prompt engineering, model evaluation, and fine-tuning workflows
- Build and optimize advanced ML models for prediction and analytics
- Work with large-scale structured and unstructured datasets
- Develop scalable model inference and serving APIs
- Integrate AI/ML systems with product and data platforms
- Improve model performance, latency, and cost efficiency
- Collaborate with engineering and product teams to productionize AI features
- Continuously monitor and improve deployed AI systems
Required Skills
- Strong Python programming and ML ecosystem experience
- Hands-on experience building LLM and Generative AI applications
- Experience with prompt engineering, RAG architectures, embeddings, and vector search
- Experience with LLM tooling/frameworks (such as LangChain, LlamaIndex, or similar)
- Experience with vector databases (FAISS, Milvus, Pinecone, or equivalent)
- Practical experience with PyTorch or TensorFlow
- Experience working with large-scale datasets and distributed data processing
- Experience deploying ML/AI models as APIs or production services
- Strong SQL and data analysis skills
- Understanding of ML model lifecycle, evaluation, and monitoring
- Exposure to MLOps practices and experiment tracking
- Experience with cloud platforms (AWS / GCP / Azure) is preferred
- Familiarity with streaming or high-volume telemetry data systems is a plus
Ideal Profile
- Has shipped at least one LLM/GenAI solution in production or near-production
- Strong problem-solver with a build-first mindset
- Comfortable working with ambiguity and fast iteration cycles
- Focused on practical, scalable AI - not just experimental notebooks
- Clear communicator who can translate business needs into AI solutions
