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Data Scientist - LLM Engineering

Data Scientist - LLM Engineering

Zorba Consulting India Pvt. Ltd.Pune
30+ days ago
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 productsRAG systems, intelligent assistants, and custom inference pipelinesthat 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 ownershipfrom research experiments to robust production systemsapply 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.

    (ref : hirist.tech)

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