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Principal, AI & Data Science- AI/ML Engineer​ Job Opening In Atlanta – Now Hiring Cargill


Job description

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.

**Job Purpose and Impact**

+ The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making.

As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework.

This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.

**Key Accountabilities**

+ Technical Strategy & Architecture: -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage.

-Evaluate and integrate best-fit OSS/commercial tooling
+ Platform Engineering & Operations -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 GenAI workloads.

-Tune scheduler policies for optimal occupancy and cost.

-Monitor system performance, investigate escalations, and lead post-incident reviews.
+ Governance & Compliance -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 (e.g., food safety, trade compliance).
+ Leadership & Mentoring -Coach senior engineers and data scientists on scalable MLOps/HPC patterns.

-Lead AI Platform Design Reviews and contribute to internal communities of practice.

**Qualifications**

+ Minimum requirement: 6 years relevant experience.

+ Typical requirement: 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps.

Experience leading cross-functional engineering teams preferred.

#LI-AB4
#FGB
#TheMuse

Equal Opportunity Employer, including Disability/Vet.


Required Skill Profession

Other General


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cargill adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Principal, AI & Data Science AI/ML Engineer​ Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Atlanta. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Principal, AI & Data Science AI/ML Engineer​ typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Principal, AI & Data Science AI/ML Engineer​ Job Success

Cargill interview tips for Principal, AI & Data Science  AI/ML Engineer​

Here are some tips to help you prepare for and ace your Principal, AI & Data Science AI/ML Engineer​ job interview:

Before the Interview:

Research: Learn about the Cargill's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal, AI & Data Science AI/ML Engineer​ interview at Cargill, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cargill's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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