AI Engineer
Listed on 2026-06-04
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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Full Time Indianapolis, Indiana, Indianapolis, IN, US
2 days ago Requisition
Major Tool & Machine (MTM) takes great pride in the talented people that come to work here. We offer market-leading pay and benefits, optional 9/80 work schedule, quarterly bonus potential, and a culture focused on employee engagement. As part of the Precinmac portfolio, this position will kick-off a journey into AI supporting Major Tool & Machine, with the potential to extend that support in this growing family of businesses across the U.S. and Canada.We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment in compliance with all federal and state regulations. Major Tool & Machine provides affirmative action in employment for qualified individuals with a disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Position SummaryThis role is required to be onsite.
The AI Engineer is an experienced technical professional who bridges business strategy with AI technology to design and implement scalable, secure AI systems to meet organizational goals. Collaboratively work with others in various areas of the company to identify appropriate use of AI, within CMMC regulations. Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems.
Reports To: Director, Technology & Continuous Improvement
Personnel: not applicable
Accountabilities: Develop understanding of the business operations to integrate with AI technology solutions. Provide expertise in collaboration with stakeholders to create solutions that improve business processes and efficiencies. Ensure proper data handling, model training infrastructure and deployment.
Authorities: Not applicable.
Duties- Influence AI strategy and help drive AI adoption.
- Establish secure, scalable, and responsible AI architecture standards, within a CMMC certified environment. Integrate AI systems with existing IT infrastructure and ensure seamless operation. Ensure AI system designs align with enterprise data models, data governance policies, data retention standards, and lineage requirements.
- Design solutions that integrate various systems and technologies to meet business objectives. Understand business problems and identify opportunities to implement data science solutions. Architect end to end data flows, ensuring high quality data ingestion, transformation, storage, and retrieval across structured, semi structured, and unstructured data sources.
- Design AI powered and GenAI enabled applications and services to support business processes by collaborating with stakeholders, including Engineering, Operations, support functions, and other IT professionals.
- Design, develop, and deploy machine learning models and algorithms from proof of concept through production deployment.
- Develop, verify, and validate analytics to address business needs and opportunities.
- Apply lean methodologies to identify opportunities for process improvement.
Educational Experience – Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or Engineering. Five years or more experience deploying AI solutions at scale.
Experience –
- Experience with Generative AI, AI Agents, or Reinforcement Learning
- Python proficiency and experience with major ML frameworks and AI platforms
- Experience in a regulated manufacturing, aerospace, or defense environment highly desired.
- Experience with MES/ERP systems, quality management systems, and manufacturing data preferred.
- NLP/document AI
- Strong analytical and problem-solving skills, with knowledge of forecasting and data modeling.
- Experience with handling unstructured data, including images, videos, and text.
- A proactive mindset with the drive to turn ideas into measurable outcomes.
- Experience developing data and machine learning-based solutions and deploying them to production…
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