Machine Learning and AI Specialist

You will be responsible for performing advanced data analysis and applying ML/AI (Machine Learning / Artificial Intelligence) techniques to improve yield, quality, and process understanding. In addition, you will build automated tools and models for prediction, monitoring, and engineering decision support.

Primary Duties & Responsibilities

• Analyze large engineering datasets to identify trends and issues.
• Apply statistical and ML/AI methods for prediction and detection.
• Develop automated tools for analysis and reporting.
• Support root cause analysis using data-driven methods.
• Build and maintain models for yield and failure risk.
• Standardize data structures, KPIs, and analysis methods.
• Ensure data quality and consistency across systems.
• Collaborate with engineers to translate data into actions.
• Identify improvement opportunities proactively from data.
• Bridge Product Engineering with IT and data systems.

Lead and Manage

• Identify improvement opportunities proactively from data.
• Collaborate with Product Engineering, WFAB, Backend, Process Integration, and Software teams.
• Work independently on analysis tasks; follow guidance from senior engineers and management to align priorities and escalate complex issues. Reports to Senior Manager, Product Operations.

Education & Experience

• Master’s degree in Machine Learning, Mechatronics, Electronics, Nanotechnology, or a related field, including a thesis focused on industrial applications and AI/ML.

Skills

• Strong analytical and problem-solving mindset with the ability to solve engineering challenges using data and AI/ML methods; proactive and results-oriented.
• Hands-on experience in data analysis, programming, and applying statistical or machine learning methods to real engineering problems. Minimum of 3 years of industrial experience or a proven track record of delivering similar projects.
• Expertise in ML/AI methods and working with large datasets.
• Experience with statistical tools such as JMP and Minitab.
• Programming skills in Python, including pandas, NumPy, and scikit-learn.
• Experience with databases and SQL.
• Experience with visualization tools such as Power BI or equivalent.
• Fluent in English; Swedish is considered an advantage.

Culture Commitment

Ensure adherence to Coherent's ICARE values in all aspects of your role:

Integrity – Create an Environment of Trust

Collaboration – Innovate Through the Sharing of Ideas

Accountability – Own the Process and the Outcome

Respect – Recognize the Value in Everyone

Enthusiasm – Find a Sense of Purpose in Work

We Offer

• A dynamic international environment and an appreciative, collaborative corporate culture.
• The opportunity to tackle unique technical challenges for the products of tomorrow.
• Competitive social benefits.

We look forward to receiving your application!