AI Solutions Architect

1 day ago

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

About Our Company

Our company is building a future-proof Retail Media Operating System, helping retailers boost profitability.

Role Overview

We are seeking a Senior Data Scientist 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.

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.

Must-Have 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.

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.

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 environment.
  • Innovative mindset with a passion for staying ahead of AI/ML trends.

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