Lead Data Scientist, AI Development

Requirements

Must have:

– I require a minimum of 4 years of pertinent work experience, though typically, a background of 5 years or more is expected. – Ideally, you should possess about 6 years of experience in managing Enterprise AI SaaS applications.

Responsibilities:

• I need you to plan, test, and implement rolling upgrades of LLM runtimes, agent-orchestration frameworks, and related services. – You will enforce IAM, secrets rotation, data classification, and Responsible AI guidelines; you should also monitor license usage and optimize expenditures. – I expect you to measure Service Level Indicators (SLIs) such as authentication latency and inference success rates while ensuring Service Level Objectives (SLOs) are upheld. – You will analyze GPU/CPU utilization, prompt accuracy, evaluation frameworks, vector-search query latency, and agent throughput. – I ask that you implement auto-scaling policies, caching strategies, and cost-control dashboards. – Additionally, I would like you to create clear how-to guides and conduct live workshops that enhance product teams’ skills in safe prompt engineering, RAG patterns, and platform APIs.

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Company:

At Cargill, our size and influence allow us to make a meaningful difference in the world. Our mission is to nourish the globe in a safe, responsible, and sustainable manner. As a family-oriented company, we provide essential food, ingredients, agricultural solutions, and industrial products that are crucial for everyday life. We connect farmers to markets, enabling their success; connect customers with ingredients to create beloved meals; and ensure families have access to daily necessities — from eggs to edible oils, salt to skincare products, and feed to alternative fuel. With 160,000 colleagues operating in 70 countries, our products impact billions of lives each day. We invite you to join us and pursue your greater purpose at Cargill.