Chief Data Architect

2 weeks ago

Agra, Uttar Pradesh, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About Our Team

We are a rapidly expanding enterprise SaaS startup, founded by seasoned ad-tech professionals. Our mission is to develop a cutting-edge Retail Media Operating System that empowers retailers to boost profitability by up to 7% of sales.

Role Overview

We seek an experienced Data Scientist (Generative AI & LLMs) to design, build, and scale innovative AI-powered solutions for retail media and ad-tech. This role combines technical leadership, applied research, and business impact, requiring hands-on expertise in machine learning, deep learning, natural language processing, and large language models.

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.

Essential 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.
  • 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.

Benefits and Opportunities

  • Opportunity to develop cutting-edge AI solutions shaping the future of retail media.
  • Collaborate with world-class leadership team of seasoned ad-tech professionals.
  • Be part of a rapidly scaling SaaS startup with global Tier 1 retailers as clients.
  • Culture of innovation, ownership, and continuous learning.
  • Competitive compensation, growth opportunities, and flexible working environment.

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