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Job Location: Durham, NC
Job Description:
As a Senior, Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building sophisticated analytics, machine learning platform and tools to enable both prediction and optimization model development. Extend existing ML Platform and frameworks for scaling model training & deployment. Partner closely with various business & engineering teams to drive the integration of our model outputs. This role is a critical element to delivering Fidelity’s promise of creating the best customer experiences in financial services.
The Team
PI Data Engineering team (part of Personal Investing Technology BU) is passionate about delivery data and ML solutions for the organization. As part of this team, you will be responsible for building sophisticated analytics solutions demonstrating various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models to large volumes in production.
The Expertise You Have
- Has Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
- demonstrated ability in Software Engineering & Development
- 1+ years of experience in implementing Big data solutions, ML Infrastructure & MLOps in
(AWS preferred).
- Experience in Object Oriented Programming (Java, Scala, Python), Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (Cassandra, Elastic search, Graph database), API and in-memory technologies.
- Solid understanding of developing highly scalable distributed systems using Open-source technologies.
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (Airflow, Luigi, Kubeflow, or equivalent).
- Proven experience in Agile methodologies (Kanban and SCRUM).
- Cloud experience (AWS preferred).
The Skills You Bring
- You have strong technical design and analysis skills.
- You the ability to deal with ambiguity and work in fast paced environment.
- Your experience supporting important applications.
- You are familiar with applied data science methods, feature engineering and machine learning algorithms.
- Your Data wrangling experience with structured and unstructured data.
- Your experience building ML infrastructure, with an eye towards software engineering.
- You have excellent communication skills, both through written and verbal channels.
- You have strong collaboration skills to work with multiple teams in the organization.
- Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.
The Value You Deliver
- Examples of specific problems you’ll help tackle – build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, supervising the uncertainty of model outputs, automating prediction explanation for model diagnostics. Designing & developing a feature generation & store framework that promotes sharing of data among different ML models, etc.
- Designing, Building and supporting mission critical applications to provide the best customer experience
- Exploring new technology trends and leveraging them to simplify our data and ML ecosystem
- Driving Innovation and implementing solutions with future thinking
- Optimally partner with applied Data Scientists and lay software foundations upon which models can be built
- Guiding teams to improve development agility and efficiency
- Resolving technical roadblocks to the team and mitigating potential risks
- Delivering system automation by setting up continuous integration/continuous delivery pipelines
Certifications:
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, you’ll 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 Glassdoor Employees’ Choice Award, we have been recognized by our employees as a Best Place to Work in 2022. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.
Many of our associates are continuing to work remotely temporarily due to COVID-19. 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 we’re calling Dynamic Working.
We invite you to Find Your Fidelity at fidelitycareers.com.
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 Accommodation Team by sending an email to accommodations @fmr.com, or by calling 800-835-5099, prompt 2, option 3.
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