Machine Learning Engineering Professional
Definity
About the role
About
Shape the future of ML at Definity as a Machine Learning Engineering Professional. Drive impactful ML product development and support continuous improvement initiatives within a hybrid work model. As part of the Advanced Analytics team, you will leverage your extensive experience to operationalize ML products and ensure their ongoing success. Engage in collaboration across technical teams and with business stakeholders, implementing cloud-native solutions that enhance customer experiences. You'll lead ML best practices and foster innovation in production settings.
Responsibilities
- Build and support ML products enhancing customer value
- Develop code with an emphasis on performance and maintainability
- Advocate for best practices in model deployment and monitoring
- Collaborate with Data Scientists and stakeholders effectively
- Innovate and refine processes for operational excellence
Requirements
- University degree in Data Science, Computer Science, or similar
- 4+ years experience in building ML pipelines
- Strong understanding of cloud technologies like Kubernetes
- Exceptional communication skills for cross-functional engagement
- Experience with Google Cloud Platform is a benefit
Bring your machine learning expertise to Definity and help drive business value through innovation.
Skills
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