Junior Professional AI Engineer
Freudenberg GroupMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ML models and integrate them via APIs into existing platforms.
Collaborate with software and data engineers to deploy multimodal AI systems using MLOps best practices.
Optimize model performance for cost efficiency while ensuring accuracy and speed; implement AI quality checks and validation processes.
Minimum Requirements
University degree in Computer Science, AI, Machine Learning, or related field, or equivalent experience.
Work Experience Required: Up to 2 years in AI/ML or related roles.
Proficient in Python, SQL, and version control with git (mandatory).
Advanced skills in Microsoft Fabric or Azure Cloud are required; intermediate skills in MLOps tools (Docker, Kubernetes) are desired but not mandatory.
Ideal Candidate Profile
Early-career AI engineer with a strong foundation in AI principles and scalable ML infrastructure development.
Experience or familiarity with cloud platforms, especially Microsoft Azure, and some exposure to MLOps practices.
Comfortable working collaboratively with software and data engineering teams on production-ready AI systems.