Associate Data Scientist

Responsibilities

• Build and improve AI services using LLMs and custom machine learning models for production use cases.
• Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.
• Write high-quality Python code that is testable, maintainable, and efficient.
• Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).
• Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.
• Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.
• Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights
• Contribute to technical design and code reviews , helping raise engineering quality across the team.
• Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

• Qualifications / Experience / Technical Skills
• Experience with tool-use agents or workflow-aware AI systems.
• Experience building AI products in enterprise SaaS environments.
• Experience with A/B testing and statistical significance techniques.
• Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).
• Experience working with modern data warehouses such as Amazon Redshift Snowflake.

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Company Intel

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