Leading Innovations in Retail Media

1 week ago


India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Us

Job Title: Senior Data Scientist (Generative AI & LLMs)

 

This role is an exciting opportunity for a Senior Data Scientist with expertise in Generative AI and Large Language Models to join our team. As a key member of the data science group, you will be responsible for designing, building, and scaling AI-powered solutions for retail media and ad-tech.

The ideal candidate will have a strong background 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
  • 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

Requirements:

  • Master's 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
  • ~3–4 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
  • Experience with ad-tech, ad-serving systems, or retail media platforms


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