Advisor, AI & Data Science- AI/ML Engineer

Cargill

Atlanta, GA

Full Time

Senior

5 days ago

Job Description

About the Role

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. The Advisor, AI & Data Science provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making, partnering to develop AI strategy, leading platform implementation, and fostering a culture of compliance and quality.

Key Responsibilities

Define multi-year AI Operations roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage.
Evaluate and integrate best-fit open-source and commercial tooling for AI platforms.
Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters.
Implement scalable vector databases and caching layers to support low-latency Generative AI workloads.
Tune scheduler policies for optimal system occupancy and cost efficiency.
Monitor system performance, investigate escalations, and lead post-incident reviews.
Champion data privacy, model risk management, and export-control requirements; embed policy checks into pipelines.
Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations.
Coach senior engineers and data scientists on scalable MLOps/HPC patterns.
Lead AI platform design reviews and contribute to internal communities of practice.

Requirements

Minimum of 6 years relevant experience.
Typically 10+ years in software/data engineering.
At least 4 years of experience running production ML or HPC workloads.
At least 2+ years of experience in GenAI/LLMOps.
Experience leading cross-functional engineering teams is preferred.

Qualifications

Relevant experience in software/data engineering and ML/HPC workloads.

Working at Cargill

The description emphasizes a culture of purpose, innovation, leadership, and compliance, fostering a collaborative environment where expertise in AI and data science is valued to drive strategic impact.

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