Senior Platform Engineer, Machine Learning
Fieldguide- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates should possess at least six years of hands-on experience in building and deploying machine learning models, along with strong expertise in developing and deploying both offline and online machine learning services in a production environment. They should have a solid understanding of machine learning software and infrastructure development, proficiency in Python, and experience with cloud computing services, preferably GCP. Furthermore, candidates are expected to demonstrate strong SQL skills and familiarity with version control and peer code review systems.
The Senior Machine Learning Engineer will contribute to the development of Attain’s machine learning platform, driving outstanding execution and defining best practices for robust and efficient machine learning service development, including data pipeline development and automation, model versioning, deployment, monitoring, feature store, and continuous model training. They will also design and manage CI/CD pipelines for machine learning product deployment, collaborate with cross-functional teams to deliver AI services effectively, and contribute to the machine learning engineering roadmap and priorities, while occasionally wearing multiple hats across the data science team to meet business needs.
Interest-free cash advance and financial tools
Klover is a fintech company that provides a cash advance app enabling users to access funds up to $200 without interest or late fees. It uses consumer-permissioned data and employs military-grade encryption to ensure security, alongside offering personalized financial tools and rewarding systems. This emphasis on security, combined with its innovative rewards program and commitment to no-cost financial solutions, makes Klover not only a leader in the fintech space but also an attractive workplace for those interested in pioneering affordable financial services.