Senior Machine Learning Engineer

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!

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

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.
• 4+ years of 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.

Preferred Qualifications

• 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

Tagged as: IT & Telecommunication