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Benefits offered by this job
Relocation Package
Flexible work location
Diversity-focused workplace
Job summary
A leading global power solutions company is seeking an entry-level AI/ML Systems Engineer to contribute to digital solution development and support product integration efforts. This role requires a Master's degree in Engineering or a related STEM field and familiarity with data analysis and AI concepts. Candidates should have strong problem-solving skills, effective communication abilities, and a willingness to work collaboratively within agile teams. The position involves investigating product issues, engaging in technical processes, and contributing to innovative use cases for AI tools.
Qualifications
Entry level/early career role focused on product integration and decision making.
Engages in technical problem resolution and contributes to team goals.
Strong academic foundation in STEM required, particularly with AI/ML knowledge.
Responsibilities
Investigate and solve product problems using statistical and analytical methods.
Collaborate with cross-functional teams to deliver quality product decisions.
Support development and testing of AI/ML prototypes and enhance digital workflows.
Skills
Statistics knowledge
Data analysis
Hypothesis testing
Python or R programming
Data visualization tools
AI/ML concepts
Problem-solving skills
Communication skills
Agile collaboration
Education
Master’s degree in Engineering or appropriate STEM field
Tools
Python
R
PowerBI
Azure Databricks
Excel
Job description
A leading global power solutions company is seeking an entry-level AI/ML Systems Engineer to contribute to digital solution development and support product integration efforts. This role requires a Master's degree in Engineering or a related STEM field and familiarity with data analysis and AI concepts. Candidates should have strong problem-solving skills, effective communication abilities, and a willingness to work collaboratively within agile teams. The position involves investigating product issues, engaging in technical processes, and contributing to innovative use cases for AI tools.