Principal - Data Engineering

Posted 10 Hours Ago
Be an Early Applicant
2 Locations
Senior level
Fintech
The Role
Responsible for building and deploying machine learning applications, collaborating with cross-functional teams and presenting findings to senior leadership.
Summary Generated by Built In

Job Description:

Job Tittle - Principal - Data Engineering

The Purpose of the Role

Fidelity Labs is looking for a Machine Learning Engineer to join a growing startup. The startup’s focus is building innovative technology for financial services. This role will be responsible for working closely with data scientists, technical leads and product managers to deploy and monitor  game-changing machine learning models to market.

The Value You Deliver

  • Build Machine Learning applications from inception to production
  • Work well as part of an interdisciplinary team whose members will include data scientists, software engineers, data engineers and product managers.
  • Be able to present and communicate key findings and project progress to senior business leaders

How will your work Impact the Organization

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. Learn more at labs.fidelity.com.

The Expertise we are looking for

  • Designing and building machine learning systems
  • Deploying, monitoring, and maintaining machine learning models
  • Automating and streamlining the model lifecycle
  • Ensuring security and compliance
     

The Skills that are key to this role

  • Experience building production ML model containers at scale (Docker, SageMaker, Flask)
  • Experience monitoring production ML models
  • Excellent command of Python and Pandas
  • Familiarity with the AWS Stack (Lambdas)
  • Familiarity with Machine Learning approaches

    Certifications:

    Category:Information Technology

    Top Skills

    AWS
    Docker
    Flask
    Machine Learning
    Pandas
    Python
    Sagemaker
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    The Company
    HQ: Boston, MA
    58,848 Employees
    On-site Workplace
    Year Founded: 1946

    What We Do

    At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products.

    Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.

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