ML Engineer - Process Optimization

Sorry, this job was removed at 08:21 p.m. (CST) on Friday, May 30, 2025
Springdale, AR
In-Office
Food • Manufacturing
The Role

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

Job Details:

This is a role within Tyson’s Supply Chain Organization. The supervisory organization is the Optimization and Automation team. This team works to provide data, software and hardware tools to our 103 manufacturing facilities. The group is focused on improving efficiency, quality, yield, safety and overall day to day processes in Tyson’s manufacturing plants. You will study Tyson operations and work with process experts to come up with innovative technology solutions that can be standardized and scaled within Tyson. This can involve sourcing solutions from established vendors, co-developing solutions with our strategic vendors, collaborating with startup companies, and/or doing R&D work to create solutions that are unique to Tyson needs. This role / team will identify opportunities, develop proof of concept solutions and present to executive leadership.  These opportunities will be founded in data from our systems of record and this team will be solving problems that best meet the needs of our business and are in high demand.  

Roles and Responsibilities: 

  • Work with our production facilities to identify potential process improvement tools that can be developed internally 

  • Handle large data sets from multiple sources and consolidate into meaningful information that can be used to identify areas of opportunity or justify already identified opportunities  

  • Bring insight and contribute to the development and best practices of these tools 

  • Provide hands-on development for proof of concepts, technical playbooks/design patterns 

  • Lead the enhancements of platform or solution observability, monitoring, reliability and scalability 

  • Build and implement various ML models using Machine Sensor and PLC data 

  • Create solid business cases and financial justification for proposed projects and opportunities  

  • Work within our Tyson data record databases (AWS, GCP, SAP, Oracle, etc 

  • Work hand in hand with our Smart Factories Foundation Team to utilize our Ignition SCADA plant floor data to create meaningful insights  

  • Work collaboratively with our plant floor team members to understand the challenges they are facing and how to best solve them  

  • Up to 25% Travel (Mostly US)  

 

Required Qualifications and Skills: 

  • Bachelor of Science degree in one of the following: Computer Science, Data Science, Computer Engineering, or other related fields 

  • 3-5 years’ experience in manufacturing 

  • Good communication and team-working skills 

  • Good mathematical and problem solving skills 

  • Highly proficient in SQL, Python, and other coding languages 
  • Sufficient knowledge of manufacturing processes (any industry)  

 

Preferred Qualifications: 

  • Master’s Degree in an Engineering or data science field 

  • Food & Beverage manufacturing experience  

  • Machine learning experience  

  • Familiarity with Ignition 

  • Experience with Time Series Data 

  • Experience with vision technology in the manufacturing space 

  • IOT experience  

Must submit resume to be considered; Candidates must reside in the US, as no sponsorship or relocation benefits are offered.

Relocation Assistance Eligible:

No

Work Shift:

1ST SHIFT (United States of America)

Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.

If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here.

Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

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The Company
HQ: Springdale, AR
24,043 Employees
Year Founded: 1935

What We Do

World's largest processor and marketer of protein food products.

We think differently and we act boldly. At Tyson Foods, we're not only ready for tomorrow, we’re leading the way.

We are a company of people engaged in the production of food, seeking to pursue truth and integrity, and committed to creating value for our shareholders, our customers, our team members, and our communities.

We built our name on providing generations of families with wholesome, great-tasting chicken. But today’s Tyson Foods is so much more. As values and behaviors around food have changed, so have we. Today, we’re innovators uniquely positioned to reshape what it means to feed our world. Today, we not only have the fastest growing portfolio of protein-centric brands, we offer greater transparency into everything we do.

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