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Full Stack Ai Engineer Jobs in Three Rivers, MI (NOW HIRING)

Recruit, grow, and lead highperforming teams across data engineering, data analytics, data science ... Define and scale the R&D AI and data science strategy, focusing on highROI use cases with clear ...

This individual will own the full lifecycle of residential production - from land development and ... Bachelor's degree in Construction Management, Architecture, Engineering, Business, or related field.

This individual will own the full lifecycle of residential production - from land development and ... Bachelor's degree in Construction Management, Architecture, Engineering, Business, or related field.

This individual will own the full lifecycle of residential production - from land development and ... Bachelor's degree in Construction Management, Architecture, Engineering, Business, or related field.

Maintenance Mechanic

Battle Creek, MI

$23.50 - $30.25/hr

Assists Mobile Engineers (HVAC/R) and Control Systems Technicians in maintenance and repair efforts ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

... full Emergency Call Management ecosystem. Help agencies integrate disparate tools (e.g., Assist AI ... Act as the liaison between the customer and internal engineering/support teams. When a request ...

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Full Stack Ai Engineer information

See Three Rivers, MI salary details

$41K

$124.3K

$175.7K

How much do full stack ai engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full stack ai engineer in Three Rivers, MI is $124,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What cities near Three Rivers, MI are hiring for Full Stack Ai Engineer jobs? Cities near Three Rivers, MI with the most Full Stack Ai Engineer job openings:
Head of R&D Data and Digital

Head of R&D Data and Digital

Abaxis

Portage, MI

Full-time

Posted 21 days ago


Job description

Role Description

Position Summary:

Zoetis is the global leader in animal health, manufacturing innovative pharmaceutical products across the full spectrum of veterinary care. To secure our future and accelerate innovation, we are advancing a bold, enterprise-wide data and digital transformation, empowering faster decisions and better solutions for animals worldwide.

Within Veterinary Medicine Research & Development (VMRD), we are reimagining how science is done in a digital-first world. By executing our data and digital strategy, we will unlock new value for our colleagues, Zoetis, and our customers. It's an exciting time to join the Automation and Data Sciences (ADS) group in VMRD to lead this transformation.

In close partnership with scientific, clinical, and regulatory stakeholders, this role will steward a modern R&D data ecosystem that spans data governance, FAIR data practices, advanced analytics, AI/ML, and digital lab solutions to ensure highquality, compliant, and reusable data at scale.

Success will be measured by reduced cycle times, higher data quality and traceability, increased reuse of scientific data and models, and clear impact on portfolio decisions and overall R&D productivity. The ideal candidate brings a proven record of delivering complex data and digital platforms and translating scientific needs into secure, scalable, usercentric solutions that advance our mission to deliver impactful innovations in animal health.

Essential Duties and Responsibilities:

  • Recruit, grow, and lead highperforming teams across data engineering, data analytics, data science, and product management, fostering a culture of accountability, collaboration, and delivery excellence.
  • Own the R&D digital strategy and portfolio, prioritizing investments against scientific objectives to sequence multiyear initiatives, maximizing value, speed, and compliance.
  • Define and scale the R&D AI and data science strategy, focusing on highROI use cases with clear success criteria, change management, and measurable scientific impact.
  • Accountable to execute on the delivery of $30M+ R&D data and digital programs, while leading crossfunctional teams to deploy complex, endtoend solutions that accelerate discovery through regulatory submission, with disciplined stage gates, risk management, and benefits realization.
  • Own the R&D data and digital roadmap, integrating portfolio priorities with regulatory and privacy obligations (GxP, data integrity, data privacy), establishing a governance model, and ensuring audit readiness across the lifecycle.
  • Govern and enforce a standard data architecture, metadata, and FAIR principles and implement quality controls, lineage, and stewardship to ensure trusted, compliant data at scale.
  • Build and operationalize selfservice data products and insight platforms while championing productcentric agile delivery with robust user experience, backlog hygiene, and release discipline.
  • Partner with IT to establish a comprehensive operating model for enterprisescale R&D platforms and data solutions, including capacity planning, SLAs, incident/problem management, vendor performance, and cost optimization to ensure reliability, scalability, and sustained value.
  • Institutionalize outcome measurement by defining and tracking KPIs and socialize results and lessons learned to drive adoption and continuous improvement.
  • Orchestrate crossdomain data integration from early discovery through product submission by delivering ELN/LIMS interoperability, automated experiment workflows, and standardized pipelines to improve reproducibility and throughput.
  • Elevate organizational capabilities by launching communities of practice and training curriculum, along with embedding responsible AI practices, enabling scientists to leverage advanced tools confidently and safely.

Requirements:

  • Education: Bachelor's Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent training/experience in a related field.
  • Experience: A minimum of 8 years of experience in an information, digital, and/or data technology role delivering and supporting large scale data and digital solutions, with a minimum of 4 years managing people; 3+ years in the health sciences industry is desired.
Full timeRegularColleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

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About Abaxis

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

201 - 500 Employees

Headquarters location

Union City, CA, US

Year founded

1995

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