Machine Learning Engineer for Digital Manufacturing (AI)

Location: Dresden, Germany; on-site role with relocation assistance available

Company

hirify.global is a semiconductor manufacturer providing process technology, design, development, and manufacturing services across the U.S., Europe, and Asia.

What you will do

• Develop and deploy AI/ML models with the AI Integration Team.
• Build features from highly complex data using AI/ML techniques.
• Establish best practices for analytics use-case development, deployment, scaling, and maintenance.
• Define project objectives, deliverables, and timelines with Digital Manufacturing teams and other stakeholders.
• Keep current with advances in AI, ML, and generative AI technologies.

Requirements

• Bachelor’s degree in engineering, computer science, or a related quantitative field.
• At least 2 years of experience in ML engineering or applied AI.
• Proficiency with AI/ML techniques and frameworks including PyTorch, Scikit-Learn, and LangChain.
• Experience with model deployment, MLOps, ML CI/CD pipelines, monitoring, and drift detection.
• Practical experience with AWS services for machine learning deployment.
• Strong understanding of data pipelines and data quality, plus excellent communication, collaboration, analytical, and problem-solving skills.

Nice to have

• Master’s degree in engineering, computer science, or a related quantitative field.
• Experience with AWS, Azure, or Google Cloud for AI solution development and deployment.
• Experience maintaining data dictionaries, enforcing data quality standards, and applying data governance frameworks.
• Exposure to the semiconductor or manufacturing domain.

Culture & Benefits

• Open-ended position with an immediate start.
• 13th-month salary and bonus payments.
• Family-friendly part-time models, trust-based flextime, and salary conversion into free time.
• Career development, internal qualification programs, and support for external educational qualifications.
• On-site gym, beach volleyball court, bike leasing, and subsidized employee restaurant.
• Budget for individual team events and opportunities for social engagement.