AI Delivery Machine Learning Engineer (Remote) -Washington, DC area ONLY at Fidelity Investments #vacancy #remote

  • *AI Delivery Machine Learning Engineer (Remote) -Washington, DC area ONLY**
  • *Washington , DC**
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  • *Job Description:**

Fidelity has new opportunities for remote AI Delivery Machine Learning Engineer . While the position is remote, you are required to live in the Washington DC area. Youll have full access to virtual training and learning opportunities, plus dynamic working resources to help you stay connected. ****The Role**** The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to join our team to help deliver customer facing AI models into production.

  • ***The Expertise and Skills You Bring****
  • Bachelors Degree in Computer Science or equivalent experience
  • 5+ years of hands-on experience with AWS infrastructure.
  • Superior SQL skills and experience developing data transformation pipelines multiple database platforms
  • At least 3 years of working within a complex Java and/or Python microservices infrastructure as either a consumer or API developer
  • Exposure to Machine Learning model development and deployment lifecycle using ML infrastructure and MLOps in the Cloud (AWS preferred)
  • Exposure to AWS Sagemaker environment is highly beneficial
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (Airflow, Luigi, Kubeflow, or equivalent).
  • You are self-driven, highly motivated and a quick learner.
  • ***The Team****

The team is an agile squad in one of the Artificial Intelligence Product Areas in Workplace Services. The goal of the squad is to find opportunities to automate manual and error prone processes using AI and Machine Learning techniques. Squads also work on using AI and Machine Learning for personalization use cases to help Fidelity customers. The squad intends to use cloud technologies and deploy solutions using all current software engineering principles. Its a great chance to work on an agile team to help build innovative and high business value AI powered solutions to improve the lives of Fidelitys customers.

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  • *Certifications:**
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  • *Company Overview**

Fidelity Investments is a privately held company with a mission *to strengthen the financial well-being of our clients.* We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients money. **Join Us** At Fidelity, youll find endless opportunities to build a meaningful career that positively impacts peoples lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a , we have been recognized by our employees as a Best Place to Work in 2022. And you dont need a finance background to succeed at Fidelitywe offer a range of opportunities for learning so you can build the career youve always imagined. As a result of COVID-19, many of our associates are continuing to work remotely. When Fidelity employees eventually return to the office, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what were calling . We invite you to **Find Your Fidelity** at . Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations @fmr.com, or by calling , prompt 2, option 2.

  • *Fidelity benefits that adapt to everything life sends your way**
  • *Benefits With You in Mind**

Benefits for your whole life thats what youll find at Fidelity. Youll find everything from perks that makes your daily life better to those big-picture, life-changing resources here with us. We have an amazing package of benefits and programs designed to help you thrive both in and outside of work.

  • *Family Programs**
  • Adoption assistance
  • Maternity & parental leave (16 weeks of fully-paid maternity leave and 6 weeks fully-paid parental leave)
  • *Wellness Programs**
  • Dependent care flexible spending (FSA)
  • On-site health & wellness centers
  • *Retirement Planning**
  • 401(k): pre-tax and/or Roth
  • *Health & Insurance**
  • Medical coverage
  • Dental & Vision coverage
  • *Education Benefits**
  • Step Ahead student loan assistance helping you pay down your loans so you can save on interest, with up to $10K in contributions
  • Tuition reimbursement program
  • Subject to your meeting initial and ongoing eligibility requirements, Company discretion and the availability of sufficient Company profits and cash flow.
  • * Albuquerque-based regular employees, excluding individuals employed in a retail branch location, are not eligible to receive the Profit Sharing contribution or Retiree Health Reimbursement Plan credits.
  • ** As of March 2019.
  • *Fidelity is invested in you**
  • *Committed to Professional Development**

At Fidelity, we are constantly adapting to the changing needs of our customers, new technologies, and better ways of working. And we empower our employees to do the same, with an emphasis on developing skills and connections that will help propel you forward in your career while being able to make an impact for Fidelitys customers around the world.

  • *Licenses & Certifications**
  • Pursue excellence in new coding languages or tech applications across a broad range of technical paths.
  • Tuition reimbursement for online or in-person course work in pursuit of new certifications.
  • *Continuing Education & Training**
  • Assess, build, and align your development plan through resources like our skill-building classroom and online courses.
  • Video-based training for technology, leadership, management & more.
  • Paid training with a facilitator who is dedicated to your onboarding and will track and evaluate your progress, giving you strategies to improve.
  • A range of talent development programs to support career mobility.
  • *Mentoring**
  • Utilize the skills of experienced leaders to enrich your career.
  • Dedicated mentors to help you grow into new areas of Fidelitys business as you develop new skills.
  • An open atmosphere of knowledge sharing and collaboration.
  • Opportunities to pay it forward, sharing the knowledge you develop and as you help others define how they want their career to take shape.
  • *Web-Based Learning**
  • Online, video-based training that covers a broad range of technology, leadership, and management topics.
  • Access to thousands of the latest and most relevant business books all summarized in just a few pages.
  • Train from your desk or the comfort of your home.
  • ***
  • *Job Description:**

Fidelity has new opportunities for remote AI Delivery Machine Learning Engineer . While the position is remote, you are required to live in the Washington DC area. Youll have full access to virtual training and learning opportunities, plus dynamic working resources to help you stay connected. ****The Role**** The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to join our team to help deliver customer facing AI models into production.

  • ***The Expertise and Skills You Bring****
  • Bachelors Degree in Computer Science or equivalent experience
  • 5+ years of hands-on experience with AWS infrastructure.
  • Superior SQL skills and experience developing data transformation pipelines multiple database platforms
  • At least 3

#J-18808-Ljbffr

Git Agile kubeflow CI/CD Artificial intelligence (AI) Python Amazon Web Services (AWS) MLOps cloud-computing Luigi SQL Airflow Java Machine Learning Jenkins Amazon SageMaker

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