Director Machine Learning Ops Engineer

The Director of ML Ops Engineer at Fidelity Labs is a pivotal role for the continued success and growth of the Catchlight startup. Catchlight is a new software solution that helps financial advisors prioritize and optimize their leads and prospects. Catchlight launched in January 2022 and is now available to financial advisors across the United States. Visit https://catchlight.ai for more information.

In this role you will be responsible for hands on building and maintaining the next generation ML platform and infrastructure. The Director of ML Ops Engineer will work closely with technical leads, infrastructure engineers and data scientists. They will establish best practices and lead initiatives to simplify the development and deployment of ML models at scale and bring game-changing ideas to market.

The Expertise and Skills You Bring

• Extensive software engineering experience including distributed systems and data infrastructure

• Strong knowledge of Python, Pandas

• Experience with ML infrastructure and ML ops

• Building tooling and automation to support the entire ML engineering lifecycle from experimentation to production operations

• Experience with the AWS stack, including AWS Sagemaker

• Strong understanding of data science, core ML concepts and approaches

• Passion for testing as a core part of the development process

• You thrive in fast-paced, ambiguous environments with high risks and high rewards

The Team

We are Fidelity Labs, Fidelity Investments’ in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to shape the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve.

Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, and moon-shot ambition—with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture.