Machine Learning Engineer for Digital Manufacturing

Location: Dresden, Germany; relocation assistance available

Company

hirify.global is a semiconductor manufacturer providing process technology, design, development, and manufacturing services to global customers.

What you will do

• Develop and deploy AI/ML models with the AI Integration Team.
• Work with complex data to create features and support analytics use cases.
• Establish best practices for AI/ML project development, deployment, scaling, and maintenance.
• Define project objectives, deliverables, and timelines with Digital Manufacturing teams and stakeholders.
• Evaluate evolving AI/ML technologies, tools, and techniques.

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 ML deployment and a strong understanding of data pipelines and data quality.
• Strong communication, collaboration, analytical, and problem-solving skills; ability to work independently in a cross-functional international team.

Nice to have

• Master’s degree in engineering, Computer Science, or a related quantitative field.
• Experience with AWS, Azure, or Google Cloud for building and deploying AI solutions.
• Experience with data quality standards, data dictionaries, and data governance frameworks.
• Exposure to the semiconductor or manufacturing domain.

Culture & Benefits

• Open-ended full-time position with flexible working-time arrangements.
• 13th-month salary, bonus payments, and relocation assistance.
• Family-friendly part-time models, trust-based flextime, and salary conversion into free time.
• Career development opportunities, 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.