Senior Data Scientist

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Title : AIML GENAI Agentic AI Engineer

Job Type : Full Time

Years of Exp : 7+

Location : Pune/ Indore/ Bangalore/ Kolkata

NP : Immediate Joiner / 15 Days Joiner.


Key Responsibilities:

  • Design, develop, and deploy scalable machine learning and

    Generative AI

    models (e.g., LLMs, GPT, BERT, Stable Diffusion).
  • Fine-tune and optimize pre-trained large language models for specific tasks and domains.
  • Build end-to-end GenAI pipelines for applications like text generation, summarization, question-answering, image generation, code generation, etc.
  • Work with Prompt Engineering and Retrieval Augmented Generation (RAG) techniques to enhance model performance.
  • Collaborate with cross-functional teams (product, engineering, data) to identify AI use cases and deliver business-focused AI solutions.
  • Integrate GenAI models into production environments using APIs and scalable frameworks (e.g., LangChain, LlamaIndex, HuggingFace).
  • Continuously evaluate and improve model performance using metrics, feedback loops, and human-in-the-loop approaches.
  • Keep up to date with the latest research in Generative AI and apply relevant advancements in projects.


Required Skills & Qualifications:

  • Bachelor’s/Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
  • 5+ years of experience in AI/ML and hands-on exposure to Generative AI technologies.
  • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Transformers (HuggingFace).
  • Experience working with LLMs (e.g., GPT, LLaMA, Claude, Falcon) and tools like LangChain, OpenAI API, or similar.
  • Good understanding of NLP, NLU, and prompt engineering.
  • Experience in fine-tuning models and building RAG-based architectures.
  • Familiarity with MLOps concepts, model versioning, and deployment (Docker, FastAPI, Kubernetes is a plus).
  • Exposure to cloud platforms like AWS, Azure, or GCP for model hosting.


Preferred (Nice to Have):

  • Experience with diffusion models (e.g., Stable Diffusion, DALL·E) for image or media generation.
  • Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) for RAG systems.
  • Experience working in Agile teams and with version control (Git).


Role Type:

  • IC (Individual Contributor)

    or

    Lead

    based on experience
  • Reporting To:

    AI/ML Lead or Data Science Manager

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