Lead ML Engineering & Research Manager

Super Technologies; Netherlands; On-site; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super Technologies seeks a hands-on Senior Engineering Manager for Applied Machine Learning & Research to drive ML systems across our platform. You will split your time between technical contributions, project coordination, and people management, guiding a small team of data scientists and ML engineers.

You will lead model development, deployment, and collaboration with product and stakeholders, while staying current with ML trends and best practices in a fast-paced entertainment tech

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• 4+ years of experience in machine learning and data science roles.
• 5+ years of experience leading and managing engineering teams, supporting growth and performance of engineers.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with cloud computing platforms, primarily AWS, and containerisation technologies such as Docker and Kubernetes.
• Excellent problem-solving skills and the ability to work both independently and collaboratively.
• Strong communication and interpersonal skills.

Responsibilities

• Design, develop, and deploy advanced machine learning models to solve complex business problems.
• Stay updated with the latest trends and advancements in machine learning and AI technologies.
• Conduct code reviews and ensure best practices in model development and deployment.
• Manage and prioritise machine learning projects to align with business goals and objectives.
• Ensure timely delivery of high-quality machine learning solutions.
• Coordinate with cross-functional teams to integrate machine learning models into production systems.
• Lead and mentor a team of 4–5 data scientists and ML engineers, providing guidance and support in their day-to-day activities.
• Oversee the execution, development, growth, and performance of the ML team.
• Foster a collaborative and innovative team environment whilst building strong partnerships with product management and stakeholders.

Skills

Machine Learning

Leadership

Python

TensorFlow

PyTorch

JAX

AWS

Docker

Kubernetes

Communication

Education

Master’s or PhD in CS/DS/ML or related

Tools

Spark

Snowflake

Qwak

MLflow

Airflow

Kubernetes

Job description

Super Technologies seeks a hands-on Senior Engineering Manager for Applied Machine Learning & Research to drive ML systems across our platform. You will split your time between technical contributions, project coordination, and people management, guiding a small team of data scientists and ML engineers.

You will lead model development, deployment, and collaboration with product and stakeholders, while staying current with ML trends and best practices in a fast-paced entertainment tech