Fidelity will not provide immigration sponsorship for this position.
Job Description:
Cognitive Computing Platform AI/ML Engineering – Principal Engineer
You will be part of the platform team responsible for the creation and support of the Cognitive Computing Platform. This platform allows customers to interact with Fidelity in natural language across all the channels that are important to them.
The Role
We are looking for an experienced principal AI/ML engineer with interest towards supporting the growing need in the Cognitive Computing Platform Knowledge Enablement area.
On software engineering side, the candidate should have large scale enterprise software delivery experience, be familiar with Fidelity software delivery methodologies, DevOps tools, and best practices.
On ML Engineering side, the candidate will be working together with a group of full-time data scientists, experimenting with a variety of NLP data analysis methods, using a variety of machine learning tools and frameworks, building, and implementing models. Previous knowledge and experience in MLOps related area is highly preferred.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The Team
As part of the team, you will architect and lead teams to implement solutions that enable customers to get the most out of what Fidelity can offer at Enterprise scale and across Fidelity’s Businesses. You will create intuitive and highly engaging conversational experiences that enable today's digitally savvy consumer to take control of their finances and feel confident in the choices that they.
The Expertise You Have
Demonstrated Hands On Experience with the following is required, as well as leading teams implementing: Software development and delivery cycle
Architecting large scale systems
Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
NodeJS or Python
REST APIs
Experience with the following areas: Building and evaluating Natural Language Processing Related Machine Learning Models
MLOps in automating Machine Learning Model services refreshing cycle
Integrating Machine Learning Model services with existing runtime conversation handling system
Education / Certifications Advanced education on computer science / data science related field or equivalent experience
Relevant experience working in financial service industry focused on IT solutions
Cloud (AWS, GCP, Azure etc….)
The Skills You Bring
Your ability to lead teams from conception to production
Your ability and desire to learn new technologies
Your ability to synthesize business need into scalable technology solutions
Your ability to work across organizations and preserve good outcomes
Your desire and aptitude for learning new technology and approaches
Your ability to operate in a polyglot development environment
Your excellent verbal and written communication skills
The Value You Deliver
Setting architecture direction of omni-channel experiences using novel technologies
Implementing scalable and differentiated solutions on a scrum team benefiting multiple business units
Working across an empowered and autonomous organization to get the best outcomes
Promoting a developer culture of quality / sustainability through automation
Coaching team members to achieve organizational goals
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws…