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Zorba AI
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Data Scientist-LLM Engineer_4+yrs

Data Scientist-LLM Engineer_4+yrs

Zorba AI

4 years

10 - 20 Lacs

mumbai metropolitan region

Posted:17 hours ago| Platform:

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Skills Required

data ai finance healthcare software inference design tuning pytorch tooling strategies integration fastapi docker kubernetes latency quantization onnx ml automate monitoring evaluation drift drive engineering git shipping python model retrieval deployment aws gcp azure optimization orchestration governance cutting collaborative learning consulting research diversity

Work Mode

On-site

Job Type

Full Time

Job Description

Primary Role Title: Senior LLM Engineer

About The Opportunity

We are a fast-growing enterprise AI & data science consultancy serving global clients across finance, healthcare, and enterprise software. The team builds production-grade LLM-driven products—RAG systems, intelligent assistants, and custom inference pipelines—that deliver measurable business outcomes.

Location:

India (Hybrid)Role & Responsibilities

Design, fine-tune and productionize large language models (instruction tuning, LoRA/PEFT) using PyTorch and Hugging Face tooling for real-world applications.
Architect and implement RAG pipelines: embeddings generation, chunking strategies, vector search integration (FAISS/Pinecone/Milvus) and relevance tuning for high-quality retrieval.
Build scalable inference services and APIs (FastAPI/Falcon), containerize (Docker) and deploy to cloud/Kubernetes with low-latency and cost-optimized inference (quantization, ONNX/Triton).
Collaborate with data engineers and ML scientists to productionize data pipelines, automate retraining, monitoring, evaluation and drift detection.
Drive prompt-engineering, evaluation frameworks and safety/guardrail implementation to ensure reliable, explainable LLM behavior in production.
Establish engineering best-practices (Git workflows, CI/CD, unit tests, observability) and mentor junior engineers to raise team delivery standards.

Skills & Qualifications

Must-Have

4+ years in data science/ML engineering with demonstrable experience building and shipping LLM-based solutions to production.
Strong Python engineering background and hands-on experience with PyTorch and Hugging Face Transformers (fine-tuning, tokenizers, model optimization).
Practical experience implementing RAG: embeddings, vector DBs (FAISS/Pinecone/Weaviate/Milvus), chunking and retrieval tuning.
Production deployment experience: Docker, Kubernetes, cloud infra (AWS/GCP/Azure) and inference optimization (quantization, batching, ONNX/Triton).

Preferred

Experience with LangChain/LangGraph or similar orchestration frameworks, and building agentic workflows.
Familiarity with ML observability, model governance, safety/bias mitigation techniques and cost/performance trade-offs for production LLMs.

Benefits & Culture Highlights

Hybrid working model in India with flexible hours, focused on outcomes and work-life balance.
Opportunity to work on cutting-edge GenAI engagements for enterprise customers and accelerate your LLM engineering career.
Collaborative consultancy culture with mentorship, learning stipend and clear growth paths into technical leadership.

This role is with Zorba Consulting India. If you are an experienced LLM practitioner who enjoys end-to-end ownership—from research experiments to robust production systems—apply with your resume and a short note on a recent LLM project you led (models, infra, and outcomes).
Zorba Consulting India is an equal opportunity employer committed to diversity and inclusion.
Skills: ml,llm,data science

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