Senior Data Scientist

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!