AI and Automation Engineer

Thermo Fisher Scientific

1h 8m ago

On-site

Full Time

Netherlands

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

The AI and Automation Engineer turns equipment and operational challenges into safe, reliable digital and automation solutions. Based in Operations Engineering, the role works with operations, maintenance, quality, engineering, and IT/OT teams to improve equipment availability, performance, product quality, and ease of operation. The engineer supports the full solution lifecycle: identifying needs, assessing data, piloting and validating solutions, deploying them, and providing ongoing support.

DESCRIPTION

How you will make an impact:

You will deliver practical AI and automation solutions that improve equipment reliability, performance, and operational efficiency.

What you will do:

Identify and prioritize opportunities by working with equipment and operations teams to understand recurring losses, define problems, establish baselines, and agree on measurable outcomes such as uptime, cycle time, quality, safety, and maintenance effort
Design and integrate automation by developing equipment solutions using controls, sensors, robotics, machine vision, and equipment interfaces, partnering with controls and equipment engineers as needed
Connect equipment and operational data using PLC, HMI, SCADA, and other approved systems to make relevant data usable, traceable, and suitable for analysis or real-time applications
Develop electrical and pneumatic systems by creating and updating system designs and documentation, and supporting troubleshooting of electrical equipment
Develop and integrate practical AI solutions by building, adapting, or integrating AI models and applications for operational needs such as document processing, anomaly detection, predictive maintenance, computer vision, and decision support
Test solutions before deployment by setting acceptance criteria, assessing results against the baseline, and planning for safe fallback, operator oversight, and rollback where appropriate
Deploy and sustain solutions by supporting commissioning and handover, monitoring reliability, model performance, data quality, and user adoption, and maintaining solutions through documented change and support processes
Build capability across teams by documenting designs and lessons learned, training users and maintainers, and sharing reusable standards and practices with Operations Equipment Engineering and partner teams

REQUIREMENTS

How you will get here:

Education:

Bachelor's degree in industrial engineering, mechatronics, or a related field, or equivalent practical experience

Experience and skills:

At least 2 years of experience in industrial automation, equipment engineering, manufacturing analytics, or delivering AI and automation solutions, or equivalent practical experience
Ability to read and work with electrical and pneumatic schematics, maintain documentation, and troubleshoot electrical equipment
Working knowledge of equipment controls and industrial systems, including PLCs, sensors, HMI/SCADA, and production data platforms
Experience implementing PID control strategies and the ability to work effectively with controls and IT/OT specialists
Ability to use Python, SQL, JavaScript, C, or comparable tools for data analysis, prototyping, or automation, and to work with structured equipment or process data
Ability to assess data quality, choose an appropriate technical approach, test it against operational needs, and explain results and limitations
Understanding of safe design, change control, documentation, cybersecurity, and applicable validation and quality controls
Able to translate user needs into clear technical requirements, collaborate across functions, and work effectively both independently and as part of a team
Strong written and spoken English communication skills are required
Dutch language skills are an advantage

Preferred qualifications:

Master's degree in computer science, artificial intelligence, mechatronics, or a related field
Experience with predictive maintenance, anomaly detection, computer vision, robotics, or process optimization
Experience deploying applications or models at the equipment edge or in a managed cloud environment, including monitoring and lifecycle support
Familiarity with industrial data exchange standards or protocols such as OPC UA or MQTT
Experience in regulated manufacturing, equipment qualification, validation, or data integrity practices
Experience commissioning equipment or working directly with technicians and operators in a manufacturing environment

Required Skills

scadapythonsqljavascriptc

Required Languages

🇬🇧 English

DESCRIPTION

How you will make an impact:

You will deliver practical AI and automation solutions that improve equipment reliability, performance, and operational efficiency.

What you will do:

Identify and prioritize opportunities by working with equipment and operations teams to understand recurring losses, define problems, establish baselines, and agree on measurable outcomes such as uptime, cycle time, quality, safety, and maintenance effort

Design and integrate automation by developing equipment solutions using controls, sensors, robotics, machine vision, and equipment interfaces, partnering with controls and equipment engineers as needed

Connect equipment and operational data using PLC, HMI, SCADA, and other approved systems to make relevant data usable, traceable, and suitable for analysis or real-time applications

Develop electrical and pneumatic systems by creating and updating system designs and documentation, and supporting troubleshooting of electrical equipment

Develop and integrate practical AI solutions by building, adapting, or integrating AI models and applications for operational needs such as document processing, anomaly detection, predictive maintenance, computer vision, and decision support

Test solutions before deployment by setting acceptance criteria, assessing results against the baseline, and planning for safe fallback, operator oversight, and rollback where appropriate

Deploy and sustain solutions by supporting commissioning and handover, monitoring reliability, model performance, data quality, and user adoption, and maintaining solutions through documented change and support processes

Build capability across teams by documenting designs and lessons learned, training users and maintainers, and sharing reusable standards and practices with Operations Equipment Engineering and partner teams

REQUIREMENTS

How you will get here:

Education:

Bachelor's degree in industrial engineering, mechatronics, or a related field, or equivalent practical experience

Experience and skills:

At least 2 years of experience in industrial automation, equipment engineering, manufacturing analytics, or delivering AI and automation solutions, or equivalent practical experience

Ability to read and work with electrical and pneumatic schematics, maintain documentation, and troubleshoot electrical equipment

Working knowledge of equipment controls and industrial systems, including PLCs, sensors, HMI/SCADA, and production data platforms

Experience implementing PID control strategies and the ability to work effectively with controls and IT/OT specialists

Ability to use Python, SQL, JavaScript, C, or comparable tools for data analysis, prototyping, or automation, and to work with structured equipment or process data

Ability to assess data quality, choose an appropriate technical approach, test it against operational needs, and explain results and limitations

Understanding of safe design, change control, documentation, cybersecurity, and applicable validation and quality controls

Able to translate user needs into clear technical requirements, collaborate across functions, and work effectively both independently and as part of a team

Strong written and spoken English communication skills are required

Dutch language skills are an advantage

Preferred qualifications:

Master's degree in computer science, artificial intelligence, mechatronics, or a related field

Experience with predictive maintenance, anomaly detection, computer vision, robotics, or process optimization

Experience deploying applications or models at the equipment edge or in a managed cloud environment, including monitoring and lifecycle support

Familiarity with industrial data exchange standards or protocols such as OPC UA or MQTT

Experience in regulated manufacturing, equipment qualification, validation, or data integrity practices

Experience commissioning equipment or working directly with technicians and operators in a manufacturing environment