Machine Learning Engineer / Prediction Services at JUMO.WORLD

You will

• Help make Machine Learning work for JUMO and our customers by combining Software Engineering and MLOps principles
• Build and evolve JUMO’s Prediction Services platform by embedding ML models in robust, mission-critical software
• Work with an ambitious team who are keen to solve big problems and grow as a collective
• Immerse yourself in a data-driven environment working closely with Data Engineering, Decision Science and Portfolio teams
• Take pride in operational excellence and help the team meet our Service Level Objectives
• Work directly with stakeholders and help with breaking down complex problems

You will need

• Degree in Engineering, Computer Science or similar
• Solid software development experience as part of a team
• Expert skills in Python and Pandas
• Expert SQL skills
• Proven experience with Docker
• Proven experience in the Machine Learning lifecycle using packages such as MLflow
• Proven experience with large-scale datasets in technologies such as Apache Spark, Hive, Presto
• Proven experience with DevOps tools such as Jenkins and Spinnaker
• Solid understanding of Machine Learning principles with packages such as scikit-learn, H2O
• Cloud development experience
• Ability to work autonomously in ambiguous situations

Bonus if you have

• Cloud development experience in AWS
• Experience working with any of the following tools: Kubernetes, Kafka or Delta Lake.
• Experience working in the Fintech domain
• Experience with Domain Driven Design practices
• Experience with Infrastructure as Code (e.g. Terraform)
• Experience using NoSQL (e.g. DynamoDB)

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies