onsite
Specialist, Operations Intelligence, AI/ML Engineer
Specialist, Operations Intelligence, AI/ML Engineer
The Specialist, Operations Intelligence (AI/ML Engineer) supports the development, testing, and deployment of artificial intelligence solutions to enhance operational decision-making and efficiency. This role focuses on machine learning, generative AI, and agentic workflow use cases within manufacturing and supply chain processes, working collaboratively with various stakeholders.
About the role
Job's mission
The Specialist, Operations Intelligence or otherwise known as AI/ML Engineer supports the development, testing, and deployment of artificial intelligence solutions that improve operational decision-making, efficiency, quality, and productivity across manufacturing and supply chain processes. The role contributes to machine learning, generative AI, and agentic workflow use cases under the guidance of senior team members.
What you will be working on
- Support the design, prototyping, and testing of AI and machine learning use cases for operations.
- Prepare and validate data from CRM, ERP, MES, supply chain, quality, and production systems.
- Assist in developing generative AI applications such as knowledge assistants, document copilots, and search-based support tools.
- Contribute to agentic automation workflows such as information retrieval, alert triage, and task orchestration.
- Support model evaluation, monitoring, and troubleshooting during pilot and deployment stages.
- Document requirements, assumptions, technical logic, and test results.
- Work collaboratively with data, business, and technology stakeholders to support use case delivery.
What we are looking for
- Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
- Minimum 1 year of relevant experience in AI, analytics, data science, or software development.
- Foundational knowledge of Python, SQL, and machine learning concepts.
- Strong analytical thinking and willingness to learn in a fast-paced environment.
What sets you apart
- Exposure to cloud AI platforms, LLM applications, or data engineering concepts.
- Experience through internships, academic projects, or early-career work in AI/ML.
- Familiarity with manufacturing or supply chain environments