Senior AI/ML Engineer

Fidelity Investments•Covington, KY

About The Position

Join Fidelity’s Cognitive Computing Platform AI/ML Engineering team, which creates and supports a platform enabling customers to interact with Fidelity in natural language across important channels. You will architect solutions and lead teams implementing them at enterprise scale across Fidelity’s businesses, creating intuitive and engaging conversational experiences that help customers manage their finances and make confident choices. The role involves setting architecture direction for omnichannel experiences, implementing scalable solutions on a Scrum team, working across an empowered organization, promoting quality and sustainability through automation, and coaching team members. Fidelity states that it will not provide immigration sponsorship for this position. The company is transitioning to a full-time onsite working model through a phased regional and role-based rollout; onsite expectations vary and may evolve.

Requirements

  • Hands-on experience with the software development and delivery cycle, including experience leading teams implementing solutions.
  • Experience architecting large-scale systems.
  • Experience with cloud technologies, including Docker, Kubernetes, AWS, Azure, or GCP.
  • Experience with Node.js or Python.
  • Experience with REST APIs.
  • Experience building and evaluating natural language processing-related machine learning models.
  • Experience with MLOps to automate machine learning model service refresh cycles.
  • Experience integrating machine learning model services with an existing runtime conversation-handling system.
  • Advanced education in a computer science- or data science-related field, or equivalent experience.
  • Relevant experience working in the financial services industry focused on IT solutions.
  • Ability to lead teams from conception to production.
  • Ability and desire to learn new technologies.
  • Ability to translate business needs into scalable technology solutions.
  • Ability to work across organizations and preserve good outcomes.
  • Ability to operate in a polyglot development environment.
  • Excellent verbal and written communication skills.

Responsibilities

  • Architect and lead teams implementing enterprise-scale solutions for the Cognitive Computing Platform across Fidelity businesses.
  • Set architecture direction for omnichannel experiences using novel technologies.
  • Build and evaluate natural language processing-related machine learning models.
  • Automate machine learning model service refresh cycles through MLOps.
  • Integrate machine learning model services with the existing runtime conversation-handling system.
  • Implement scalable solutions on a Scrum team that benefit multiple business units.
  • Work across organizations to achieve strong outcomes.
  • Promote a developer culture of quality and sustainability through automation.
  • Coach team members to achieve organizational goals.
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