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Data Scientist - Generative AI

Data Scientist - Generative AI

Nazztec Private LimitedGurugram
27 days ago
Job description

Job Title : Data Scientist Gen AI

Experience : 7-13years

Location : Bangalore, Pune, Chennai, Kolkata, Gurugram

Work Mode : Hybrid

Notice Period : Immediate (15 :

  • Lead the design and development of scalable GenAI solutions leveraging LLMs, diffusion models, and multimodal architectures.
  • Architect end-to-end pipelines involving prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning.
  • Select and integrate foundational models (e. g., GPT, Claude, LLaMA, Mistralbased on business needs and technical constraints.
  • Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation.
  • Guide teams on model evaluation, inference optimization, and cost-effective scaling strategies.
  • Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks.
  • Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation.
  • Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments.
  • Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems.

Core Skills :

  • Deep expertise in machine learning, natural language processing (NLP), and deep learning architectures.
  • Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT), and prompt engineering.
  • Proficient in Python, with libraries / frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow.
  • Experience with vector databases (e. g., Pinecone, FAISS, Weaviate) and RAG pipelines.
  • Strong understanding of cloud-native AI architectures (AWS / GCP / Azure), containerization (Docker / Kubernetes), and API integration.

    • Nice-to-Have :

  • Experience with multimodal models (text + image / audio / video).
  • Knowledge of AI governance, ethical AI, and compliance frameworks.
  • Familiarity with MLOps practices for GenAI, including model versioning, drift detection, and performance monitoring.

    • (ref : hirist.tech)

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    Data Scientist Generative Ai • Gurugram