Staff Data Scientist

4 days ago

Pune, Maharashtra, India ARA Resources Private Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role Summary

We are seeking a Senior Data Scientist (Generative AI & LLMs) to design, build, and scale AI-powered solutions for retail media and ad-tech. This role blends technical leadership, applied research, and business impact , requiring hands-on expertise in machine learning, deep learning, natural language processing, and large language models. You will drive innovation in Generative AI , lead applied research, and collaborate with product and engineering teams to deliver customer-facing AI solutions.

Key Responsibilities

  • Translate complex business problems into advanced statistical and ML frameworks.
  • Develop scalable ML and DL solutions with a strong emphasis on LLMs and Generative AI.
  • Build and optimize training, fine-tuning, evaluation, and deployment pipelines for LLMs.
  • Apply Responsible AI principles to ensure fairness, explainability, and bias mitigation.
  • Lead applied research and incorporate cutting-edge GenAI methods into production.
  • Build scalable data pipelines and end-to-end ML systems on cloud platforms.
  • Provide technical leadership to data scientists, analysts, and engineers.
  • Mentor junior talent, establish best practices, and influence the data science roadmap.
  • Partner with cross-functional teams to integrate AI solutions into customer-facing platforms.
  • Manage project execution, continuous improvement, and strategy alignment.

Skills Required

  • 34 years of hands-on expertise in LLMs, Generative AI, and NLP .
  • 2+ years of leadership experience in guiding projects and teams.
  • Strong proficiency in Python, SQL, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP/Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
  • Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
  • Strong data engineering skills for ETL and large-scale dataset processing.

Qualifications

  • Masters or PhD in Computer Science, Statistics, Data Science, or related fields.
  • 8-12 years of applied data science/ML experience, with strong domain exposure to e-commerce, advertising, or retail.

Skills

Data Science,data scientist,Generative AI,LLM,Gen AI,Large Language Models

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