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Data Scientist - Generative AI / LLM

Data Scientist - Generative AI / LLM

Nazztec Private LimitedGurgaon
14 days ago
Job description

Job Title : Data Scientist - Generative AI / LLMs

Work Base Location : Bangalore / Pune / Chennai / Kolkata / Gurugram (Hybrid Mode)

Experience Range (Min-Max years) : 5 to 13 years

Work Shift Timings : Standard Business Hours (Hybrid)

Job Description :

We are seeking skilled Data Science professionals with strong Generative AI expertise to join our high-impact AI / ML team across multiple levels (L3, L4, L5). You will design, develop, and deploy cutting-edge GenAI solutions leveraging Large Language Models (LLMs), MLOps practices, and modern cloud platforms.

Key Responsibilities :

  • Build and deploy scalable Generative AI and LLM-based applications (prompt engineering, fine-tuning, and RAG pipelines).
  • Architect end-to-end ML workflows covering data ingestion, model training, evaluation, and production deployment.
  • Implement robust MLOps practices including model versioning, monitoring, and performance optimization.
  • Collaborate with data scientists, ML engineers, and product stakeholders to identify high-impact GenAI use cases.
  • Integrate vector databases (e.g., Pinecone, FAISS, Weaviate) and optimize inference for cost-effective scaling.
  • For L5 (GenAI Architect) : Lead system design and cloud deployment strategies, establish best practices, and mentor teams.

Core Skills (Must-Have) :

  • Generative AI and Large Language Models (LLMs) - hands-on experience with transformers, fine-tuning (LoRA / PEFT), and prompt engineering.
  • Python - proficiency with ML / AI libraries (Hugging Face Transformers, LangChain, PyTorch / TensorFlow, OpenAI API).
  • MLOps - experience with CI / CD for ML, containerization (Docker / Kubernetes), and cloud-native deployment (AWS / GCP / Azure).
  • Strong knowledge of classical Data Science / Machine Learning concepts and algorithms.
  • Preferred :

  • Exposure to multimodal models (text + Knowledge of AI governance, security, and compliance frameworks.
  • Familiarity with advanced GenAI architectures and performance optimization techniques.
  • Educational Qualification :

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field. A PhD is a plus.
  • 12-15 years in AI / ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures.
  • (ref : hirist.tech)

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