Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 15007893

    Unistanz Software logo

    Senior Data Scientist - Generative& Agentic AI

    Unistanz Software · Bengaluru · onsite · Posted 50d ago

    Undisclosed3–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Unistanz Software Pvt Ltd (www.unistanz.com) is hiring for the position of Senior Generative &Agentic AI Data Scientist. We are looking for candidates experienced in Generative AI, Agentic AI and NLP.


    Client Deputation Location: JP Technopark, Bangalore |

    Experience: 3+ Years

    Notice Period : Immediate-15 days joiners preferred

    Work Mode: Office based, with up to 4 WFH days per month.


    Role Overview:


    We are hiring a hands-on Senior Data Scientist to design and deploy enterprisescale AI systems in Generative AI, Agentic AI, and NLP. You will build productionready AI agents that integrate with APIs, databases, and business workflowsensuring reliability, observability, and governance.


    Responsibilities:


    • Build and optimize LLM applications, RAG systems, embeddings, and vector database integrations ( Qdrant, Pinecone, FAISS, Chroma, Weaviate, Milvus)
    • Develop autonomous agents using frameworks (LangChain, LangGraph, OpenAI Agents SDK, etc.) with planning, reflection, memory, and multiagent collaboration.
    • Deliver endtoend NLP solutions (summarization, QA, sentiment, document intelligence).
    • Ensure production readiness: observability, governance, security, and scalability.
    • Collaborate with product, engineering, and business teams; mentor juniors.

    Required Skills:


    • Strong proficiency in Python.
    • Handson with Agentic AI frameworks and NLP pipelines (PyTorch, Tensor Flow, Hugging Face, Lang Chain, Llama Index, NumPy, Pandas)
    • Experience with opensource LLMs (Llama, Qwen, Mistral, Gemma, Granite).
    • Knowledge of RAG architectures, embeddings, semantic/hybrid search, vector databases.
    • Familiarity with model serving (vLLM, Ollama, TGI, TensorRTLLM).
    • Solid engineering fundamentals: APIs, Git, containerization, distributed systems.

    Preferred:

    • Cloud platforms (AWS/Azure/GCP), Kubernetes, Docker.
    • MLOps/LLMOps tools (MLflow, Kubeflow, Airflow, DVC, Argo Workflows, LangSmith, W&B).
    • Experience integrating AI with enterprise platforms (CRM, ERP, ITSM).
    • Contributions to opensource or AI communities.

    Sourced from naukri

    Skills

    Natural Language ProcessingPytorchPythonAgentic AiGenerative AiMachine Learning

    Senior Data Scientist - Generative& Agentic AI · waiting for your command