Chief AI Architect

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Senior Data Scientist (Generative AI & LLMs)

">Job Description:

We are seeking a highly skilled Senior Data Scientist with expertise in Generative AI and Large Language Models to join our team. This is an exciting opportunity for someone who wants to design, build, and scale AI-powered solutions for retail media and ad-tech.

The successful candidate will blend technical leadership, applied research, and business impact, requiring hands-on expertise in machine learning, deep learning, natural language processing, and large language models. We are looking for someone who can translate complex business problems into advanced statistical and ML frameworks.

">Key Responsibilities:
  • 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.
Qualifications:

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.

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Nice to Have:

  • Experience with ad-tech, ad-serving systems, or retail media platforms.
  • Applied research contributions (papers, patents, open-source projects).
  • Exposure to multimodal AI and personalization systems.
  • Hands-on experience with LangChain, Hugging Face, RAG, LoRA, and fine-tuning of LLMs.

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