Senior Data Scientist

7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Senior Data Scientist – Generative AI & LLMs


Remote | Immediate Joiner | Full-time


About the Role

Senior Data Scientist

You’ll collaborate with C-level stakeholders, researchers, and engineers to conceptualize, design, and deploy scalable AI solutions that redefine data intelligence.


Key Responsibilities


  • Lead the

    design, training, and deployment

    of advanced AI and ML models for real-world applications.


  • Implement

    Generative AI

    solutions using frameworks such as

    LangChain, LlamaIndex, LangGraph, and HuggingFace

    .


  • Develop and optimize

    LLMs and multi-agent architectures

    for reasoning, retrieval, and decision automation.


  • Apply

    statistical modeling and classical ML

    (XGBoost, CatBoost, clustering, regression, time series).


  • Design and fine-tune

    diffusion models

    (e.g., Stable Diffusion, ControlNet, DreamBooth).


  • Work on

    RAG implementations

    integrated with vector databases (FAISS, Pinecone, Milvus, Weaviate).


  • Implement

    MLOps

    best practices using

    MLflow, Weights & Biases, Kubeflow

    , and containerized deployments (Docker, Kubernetes).


  • Optimize model performance using

    TensorRT, ONNX Runtime

    , and advanced quantization/pruning techniques.


  • Deploy AI workloads on

    Azure AI/ML stack

    and integrate observability tools like

    Grafana, Prometheus, Azure Monitor

    .


  • Collaborate with cross-functional teams to ensure production readiness, scalability, and performance.



Required Skills & Experience


  • 3.5–7 years

    of hands-on experience in AI/ML or Deep Learning.


  • Proven experience taking models

    from PoC → Production → Monitoring

    .


  • Strong expertise in

    Python

    , advanced data structures, async & multiprocessing.


  • Proficiency in deep learning frameworks (

    PyTorch, TensorFlow, JAX

    ).


  • Experience with

    Generative AI and LLM ecosystems

    , including fine-tuning and context engineering.


  • Knowledge of

    MLOps, container orchestration, and scalable deployment

    .


  • Deep understanding of

    ML/DL theory

    (optimization, loss functions, architectures).


  • Excellent

    English communication skills

    and ability to collaborate with

    C-level executives

    .


  • Master’s or Bachelor’s degree in Computer Science, Data Science, or related field.


Nice to Have


  • Experience with

    Graph Neural Networks (GNNs)

    or

    Graph RAG frameworks

    .


  • Publications, patents, or open-source contributions in AI/ML.


  • Exposure to

    Azure OpenAI, Mistral, Llama3, or Falcon

    models



Why Join Us?


  • Work on

    state-of-the-art Generative AI and LLM projects

    that drive real business value.


  • Collaborate with top-tier architects, researchers, and engineers.


  • Opportunity to

    shape AI strategy and innovation

    at the organizational level.


  • Flexible, remote-first environment.



Interested? Send your resume to:

🚀 Let’s build the future of AI together!


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