Fidelity Investments - Smithfield, RI
posted 3 months ago
The Workplace Investing AI Delivery Engineering Chapter team is seeking a Senior Machine Learning / MLOps Engineer to design, implement, and enhance technical solutions for AI model deployment, data pipelines, hosting, and API access tiers. This role is pivotal in supporting the Intelligent Automation AI Product Area, where the engineer will leverage their expertise to build AWS-based AI solutions. The focus will be on extracting data from both structured databases and unstructured data sources, utilizing AI algorithms to automate complex business challenges faced by the Workplace operations team. In this position, the engineer will engage in a blend of peer mentorship, application and API design, and hands-on work, collaborating closely with data scientists and business stakeholders. The ideal candidate will be an outspoken technologist with a profound passion for data and application design, eager to contribute to innovative solutions that drive business value. The role promises a dynamic work environment within an agile squad, emphasizing the use of cloud technologies and adherence to modern software engineering principles. The Senior Machine Learning / MLOps Engineer will be responsible for building feature engineering pipelines, deploying AI models, and optimizing model inference. This includes developing python-based APIs, working with security and data technologies, and utilizing infrastructure as code tools. The engineer will also design and develop machine learning and deep learning systems, ensuring robust deployment and analytics capabilities using AWS services.