Senior AI Expert

23 hours ago

Jodhpur, Rajasthan, India beBeeDataScience Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
AI Solutions Lead

About a fast-growing enterprise B2B SaaS startup founded by ex-Amazon ad-tech experts.

The company is headquartered in Pune, India, and building a future-proof Retail Media Operating System to help retailers boost profitability by up to 7% of sales.

By offering omni-channel media buying, advanced targeting, analytics, and superior Return on Ad Spend (ROAS), the platform enables retailers and marketplaces worldwide to stay ahead of the market by at least two years.

Job Summary

We are seeking an AI Expert with expertise in Generative AI and Large Language Models (LLMs) to design, build, and scale AI-powered solutions for retail media and ad-tech.

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.
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.
Preferred Qualifications
  • 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.
Behavioral Competencies
  • Business acumen: ability to map AI/ML solutions to strategic goals.
  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Adaptability in a fast-paced, high-growth startup environment.
  • Innovative mindset with a passion for staying ahead of AI/ML trends.

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