Blend360 is hiring a Lead Data Scientist - GenAI

Blend360 is hiring a Lead Data Scientist - GenAI to own the scientific and methodological side of Generative AI delivery. You will be responsible for problem framing, feasibility assessment, experimental design, and building production-intent GenAI MVPs.

What You'll Do

• Translate business needs into testable GenAI hypotheses and measurable success criteria.
• Run feasibility assessments to choose the right approach: prompting vs RAG vs fine-tuning vs classical ML.
• Select and develop models based on task requirements, cost, latency, and risk profile.
• Design prompting strategies including instruction design, few-shot sets, structured outputs, and robustness patterns.
• Establish a prompt iteration methodology driven by evaluations.
• Define the evaluation plan for GenAI systems and agentic workflows, implementing metrics and thresholds.
• Ensure evaluation includes fairness and bias considerations.
• Define acceptance thresholds and release gates tied to performance metrics.
• Own structured experiments across prompts, retrievers, chunking, and models.
• Develop methods for identifying model failures such as hallucinations and retrieval misses.
• Provide evidence-based recommendations for improvements with expected lift and tradeoffs.
• Deliver an engineering-ready handoff including prompt packages, evaluation harnesses, and datasets.
• Act as the GenAI DS lead in project delivery, aligning stakeholders on metrics and decisions.
• Partner with AI engineering by providing clear specifications and acceptance thresholds.
• Mentor data scientists and analysts on GenAI evaluation methods and scientific rigor.
• Collaborate with Product and Software Engineers to integrate AI capabilities into platforms.
• Collaborate with DevOps and Platform Engineers on environment setup, monitoring, and infrastructure.
• Collaborate with Data Engineering on designing and accessing upstream data pipelines.

What We're Looking For

• 7+ years of overall AI/ML experience including 2+ years focused on Generative AI solutions.
• Strong background in applied ML with demonstrated GenAI delivery experience.
• Deep expertise in evaluation design, metrics, and dataset curation for LLM systems.
• Proven experience in model selection, prompt engineering, and structured output prompting.
• Strong proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Experience in LLM fine-tuning, prompt engineering, or AI solution integration with enterprise applications.
• Familiarity with RAG design choices and how to evaluate them.
• Comfortable working with the Azure GenAI ecosystem (Azure OpenAI / Azure AI Foundry).
• Proven ability to build end-to-end GenAI MVPs in Python and prepare them for production handoff.
• Excellent communication and stakeholder management skills with a strategic mindset.

Technical Stack

• Languages & Core Frameworks: Python, PyTorch, TensorFlow, Scikit-learn
• Cloud & AI Services: Azure OpenAI, Azure AI Foundry

Team & Environment

This is a Lead Data Scientist role. You will partner closely with AI Engineering, Product, Software Engineers, DevOps/Platform Engineers, and Data Engineering to deliver solutions.

Company Culture

• Impactful Technical Work: Be at the forefront of AI innovation.
• Growth Opportunities: Thrive in a company and innovative team committed to growth.
• Collaborative Culture: Work alongside a team of world-class experts.
• Bold Vision: Join a company that is brave, goes the extra mile to innovate, and delivers bold visions.