Senior Machine Learning Engineer

locationsHybrid - BerlinRemote - Europetime typeFull timeposted onPosted Todayjob requisition idJR100388

CoachHub is on a mission to democratise coaching for all career levels worldwide. We need an amazing team to achieve this, so we’re bringing together kind, smart and highly-skilled people from all corners of the globe.

If you'd like to shape the success story of a fast-growing, award-winning company and the leading global digital coaching platform - get in touch!

About the Data & Insights team

We a remote first team (Spain, France, Germany, Austria, Italy). The team is composed of a group of talented Data Engineers, Machine Learning Engineers and Full Stack Engineers. This allows us to bring different perspectives, experiences, and ideas to the table, making our work richer and more impactful.

We work in "tribes" which are composed by multidisciplinary colleagues (product managers, analysts, and engineers). Depending on the tribe we use Scrum or Kanban. Your work will have a direct impact on our products, our customers, and our success as a company. We're looking for someone who is passionate about making a difference

What We Value : Autonomy

Proactiveness

Learning from Mistakes

Making an Impact

Collaboration

Our Golden Rules

Move Fast (Iterate)

With High Quality

And true ownership

Position

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that drive our core data products and services.

Location : Remote within the EU. (We have hubs in Berlin & Paris)

Responsibilities

Design, build, and deploy machine learning models and algorithms to solve complex business problems.

Perform data exploration, cleaning, and preprocessing to prepare datasets for model training.

Train and optimize machine learning models, ensuring high performance and scalability.

Stay up-to-date with the latest developments in machine learning and AI, and apply innovative techniques to improve existing models and processes.

Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.

Work closely with data analysts, data product managers and other stakeholders to understand and address their data requirements.

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.

Hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.

Strong programming skills in Python.

Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.

Experience with cloud platforms (AWS).

Excellent communication and collaboration skills.

Ability to work independently and as part of a team in a fast-paced environment.

Would be great if you also had

• Experience in the use of AWS Lambda, EKS, ECS, EC2, SNS, SQS, S3, Event Bridge, Step Functions.
• Knowledge of Infrastructure as Code e.g. CDK, Terraform.
• Experience with Metaflow, Git, CI / CD
• Familiarity with generative AI, LLM.