Senior Machine Learning Engineer

Our partner is the leading global talent development platform that enables organizations to create a personalized, measurable, and scalable coaching program for the entire workforce, regardless of department and seniority level. By doing so, organizations are able to reap a multitude of benefits, including increased employee engagement, higher levels of productivity, improved job performance, and increased retention.

Their global pool of coaches is comprised of over 3,000 certified business coaches in 70 countries across six continents with coaching sessions available in over 60 languages, to serve more than 500 clients. To match their ambition they need an amazing team, and they are bringing together kind, smart, and highly-skilled people from all corners of the globe.

Their programs are based on advanced R&D from our Coaching Lab, led by Prof. Jonathan Passmore, and our Science Council. They are backed by leading tech investors, including Draper Esprit, Holtzbrinck Ventures, Partech, RTP Global, Signals Venture Capital, Sofina, Softbank, and Speedinvest.

Job Description:

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

products and services.

• 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.

• 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.

• 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.