AI/ Machine Learning Engineer - (ATL or MSP) job in Atlanta

• CI/CD & RELEASE AUTOMATION: Implements CI/CD pipelines including automated testing, evaluation checks, contract testing and controlled environment promotion to ensure reliable, repeatable and production-ready AI/ML platform and model deployments.
• PLATFORM COLLABORATION & GOVERNANCE: Contributes to shared platform standards including API contracts, semantic versioning, repository contribution models, documentation and code reviews to enable multiple engineering teams to safely build and operate services on the platform.
• OBSERVABILITY & OPERATIONS: Applies telemetry-first engineering practices including logs, metrics and traces to support monitoring, reliability and operational excellence. Contributes to runbooks, incident response, operational readiness and postmortems.
• SECURITY & RESPONSIBLE AI: Implements secure-by-default practices including secrets management, least privilege access, safe logging and protections against prompt injection, tool misuse and data leakage when building and operating AI services.

• Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience., * Builds and operates data pipelines supporting training, evaluation, deployment and monitoring of models and AI/ML services on Sgemker.
• Experience working with AI platform components such as LLM gateways, vector databases, retrieval systems or multi-model orchestration.
• Familiarity with retrieval workflows including embedding generation, chunking strategies and scalable retrieval patterns.
• Familiarity with AI observability and evaluation tooling (for example LangSmith or similar platforms) and integrating automated quality checks for AI systems.
• Experience implementing infrastructure-as-code using tools such as Terraform, CDK or similar technologies for managing cloud environments.
• Knowledge of cloud platform fundamentals including networking, identity management, secrets management and secure service communication.
• Experience optimizing performance, reliability and cost efficiency of AI workloads including caching strategies, model routing and workload monitoring.
• Experience using modern developer productivity tools including code assistants and AI-enabled development workflows.

The expected salary for this position is $76,000- $129,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come., * Come build the AI platform that engineers across Cargill will use every day-shipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, you're not optimizing vanity metrics; you're helping a global company that puts food on tables around the world deliver better, faster, safer decisions at massive scale. We're looking for engineers with integrity (do the right thing when no one's watching), hunger to learn (stay curious, test, iterate), and a builder mindset (prototype, harden, scale). You'll do well here if you move work forward even with dependencies, communicate clearly, and ship value in increments-building strong relationships while finding practical paths around blockers.