AI & Data Analytics Engineer

Location: hirify.global, Sweden; partially remote

Company

hirify.global is a global manufacturer of sustainable metal powders, operating 15 production centers and serving customers across industries including automotive, electric motors, surface coating, welding and additive manufacturing.

What you will do

• Develop secure, robust and scalable data solutions for production environments.
• Collect, process, analyze and visualize technical and production data using Python, databases and data workflows.
• Work with industrial process and DCS data, including ABB 800xA.
• Explore and develop Machine Learning, advanced analytics and LLM-based AI solutions.
• Design and evaluate data and AI workflows, including feasibility studies for new technical solutions.
• Maintain technical documentation, procedures and models while considering cybersecurity and secure data handling.

Requirements

• Master’s degree in Data Science, Computer Science, Applied Mathematics or another relevant technical field.
• Experience with Python and data analysis.
• Knowledge of databases and data workflows.
• Experience with data processing and visualization.
• Fluent English, written and spoken, is required.
• Analytical, curious and solution-oriented approach, with the ability to work through complex technical challenges.
• Clear communication skills and the ability to explain complex technical topics accessibly to technical specialists and users.

Nice to have

• DCS environments, particularly ABB 800xA.
• Machine Learning and advanced data analytics.
• Generative AI and LLM-based solutions.
• Cybersecurity in data or industrial environments.
• Linux environments.

Culture & Benefits

• Full-time position with a partially remote work arrangement.
• Collaborative and open workplace focused on inclusion, diversity and personal development.
• Opportunity to contribute to sustainable material innovation and the transformation toward net-zero climate emissions.
• Work with technical specialists and users across a global manufacturing organization.

Hiring process

• Submit the application before December 4; the position may be filled before the deadline.
• Applications can be submitted through the vacancy process, with questions directed to the listed Digitalization & Operation Technology director or HR-generalist.