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Job Description:

Summary

The AI/ML Engineer III is a senior-level representing advanced expertise and leadership in artificial intelligence and machine learning. This role is responsible for architecting,
developing, and deploying complex AI systems and solutions, driving innovation, and influencing technical strategy at the team and project levels. The AI/ML Engineer III leads
cross-functional initiatives, mentors other engineers and data scient, and plays a key role in shaping organizational standards for AI/ML development.

Essential Functions

• Design, architect, and deploy sophisticated AI/ML solutions that address critical business challenges.
• Lead and oversee advanced data engineering, preparation, and feature selection for large-scale model training.
• Conduct comprehensive exploratory data analysis, drive feature engineering and selection for optimal model performance.
• Establish, monitor, and refine model evaluation frameworks using advanced metrics and validation strategies.
• Document technical work, present findings to stakeholders, and review code for quality and optimization.
• Mentor and guide engineers and data scientists, fostering technical growth and best practice.
• Collaborate actively with software engineers, product managers, and data scientists to deliver strategic AI/ML projects.
• Research, evaluate, and implement emerging AI/ML technologies, frameworks and methodologies.
• Maintain, troubleshoot, and enhance deployed AI systems, ensuring robustness and scalability.

Additional Responsibilities

• Perform other duties as assigned.

Skills and Abilities

• Proficiency with Python or similar programming languages, Required.
• Deep understanding of advanced AI/ML concepts including reinforcement learning, deep learning, and large-scale data processing, Required.
• Proven ability with data manipulation and analysis libraries (e.g., pandas, NumPy), Required.
• Exceptional analytical and problem-solving skills, Required.
• Effective technical communication, collaboration, and leadership abilities, Required.
• Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn); experience in deploying models in production environments, Required.

Qualifications

• Bachelor's degree in computer science, Data Science, Engineering, Mathematics or related field, Required
• Master's Degree in Computer Science, Data Science, Engineering, Mathematics, MBA or equivalent., Preferred
• 6 years or more in Extensive experience in AI, machine learning, or related areas, Required
• 4 years or more in Significant hands-on experience with AI/ML projects, tools, and frameworks, Preferred
• Comprehensive knowledge of statistics, algorithms, and data structures Advanced, Required
• Up-to-date awareness of ethical, regulatory, and security considerations in AI/ML Intermediate, Required
• Experience with AI agentic platforms like Databricks Intermediate, Required
• Familiarity with cloud platforms, MLOps, and scalable deployment practices Intermediate, Required

Travel

• No

Job Category

Automation

Compensation Information:

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:

Pay Type:

Salaried

Minimum Pay Range:

$100,000.00

Maximum Pay Range:

$110,000.00

Benefits Information:

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Important Note:

Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned. 

Security Notice for Applicants:

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire.  During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.

Current Employees:

If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.

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