Senior Machine Learning Engineer
Company: Fidelity Investments
Location: Durham
Posted on: September 19, 2023
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Job Description:
Job Description:
Sr. Machine Learning EngineerAs a Machine Learning Engineer, build
and maintain large scale ML Infrastructure and ML pipelines.
Contribute to building advanced analytics, machine learning
platform and tools to enable both prediction and optimization of
models. Extend existing ML Platform and frameworks for scaling
model training & deployment. Partner closely with various business
& engineering teams to drive the adoption, integration of model
outputs. This role is a critical element to using the power of Data
Science in delivering Fidelity s promise of creating the best
customer experiences in financial services.The TeamPI Data
Engineering team (part of Personal Investing Technology BU) is
focused on delivery data and ML solutions for the organization. As
part of this team, you will be responsible for building advanced
analytics solutions using various cloud technologies and
collaborating with Data Scientists to robustly scale up ML Models
to large volumes in production.The Expertise You Have\u00B7 Has
Bachelor s or Master s Degree in a technology related field (e.g.
Engineering, Computer Science, etc.).\u00B7 5+ years of proven
experience in implementing Big data solutions in data analytics
space.\u00B7 1+ years of experience in developing ML infrastructure
and MLOps in the Cloud using AWS Sagemaker.\u00B7 Extensive
experience working with machine learning models with respect to
deployment, inference, tuning, and measurement required.\u00B7
Experience in Object Oriented Programming (Java, Scala, Python),
SQL, Unix scripting or related programming languages and exposure
to some of Python s ML ecosystem (numpy, panda, sklearn,
tensorflow, etc.).\u00B7 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.\u00B7 Data movement technologies (ETL/ELT),
Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka),
Relational and NoSQL databases (DynamoDB, EKS, Graph database), API
and in-memory technologies.\u00B7 Strong knowledge of developing
highly scalable distributed systems using Open-source
technologies.\u00B7 Experience with CI/CD tools (e.g., Jenkins or
equivalent), version control (Git), orchestration/DAGs tools (AWS
Step Functions, Airflow, Luigi, Kubeflow, or equivalent).\u00B7
Solid experience in Agile methodologies (Kanban and SCRUM).The
Skills You Bring\u00B7 You have strong technical design and
analysis skills.\u00B7 You the ability to deal with ambiguity and
work in fast paced environment.\u00B7 Your experience supporting
critical applications.\u00B7 You are familiar with applied data
science methods, feature engineering and machine learning
algorithms.\u00B7 Your Data wrangling experience with structured,
semi-structure and unstructured data.\u00B7 Your experience
building ML infrastructure, with an eye towards software
engineering.\u00B7 You have excellent communication skills, both
through written and verbal channels.\u00B7 You have excellent
collaboration skills to work with multiple teams in the
organization.\u00B7 Your ability to understand and adapt to
changing business priorities and technology advancements in Big
data and Data Science ecosystem.The Value You Deliver\u00B7
Designing & developing a feature generation & store framework that
promotes sharing of data/features among different ML models.\u00B7
Partner with Data Scientists and to help use the foundational
platform upon which models can be built and trained.\u00B7
Operationalize ML Models at scale (e.g. Serve predictions on tens
of millions of customers).\u00B7 Build tools to help detect shifts
in data/features used by ML models to help identify issues in
advance of deteriorating prediction quality, monitoring the
uncertainty of model outputs, automating prediction explanation for
model diagnostics.\u00B7 Exploring new technology trends and
leveraging them to simplify our data and ML ecosystem.\u00B7
Driving Innovation and implementing solutions with future
thinking.\u00B7 Guiding teams to improve development agility and
productivity.\u00B7 Resolving technical roadblocks and mitigating
potential risks.\u00B7 Delivering system automation by setting up
continuous integration/continuous delivery pipelines.Company
OverviewAt Fidelity, we are focused on making our financial
expertise broadly accessible and effective in helping people live
the lives they want. We are a privately held company that places a
high degree of value in creating and nurturing a work environment
that attracts the best talent and reflects our commitment to our
associates. We are proud of our diverse and inclusive workplace
where we respect and value our associate for their unique
perspectives and experiences. For information about working at
Fidelity, visit FidelityCareers.com.Fidelity Investments is an
equal opportunity employer.Fidelity will reasonably accommodate
applicants with disabilities who need adjustments to complete the
application or interview process. Please email us at
accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 if
you would like to request an accommodation.Please see below for the
salary range for work locations in Colorado only:N/A
Please see below for the salary range for work locations in New
York City, Westchester County, NY and Jersey City, NJ only:N/A
Please see below for the salary range for work locations in
California only:N/A
Please see below for the salary range for work locations in
Washington only:N/A
Certifications:
Company OverviewFidelity 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 UsAt 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 -, we have been recognized by our employees as a
Best Place to Work in 2023. 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.At
Fidelity, 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 \u201C\u201D. Most associates
will have a hybrid schedule with a requirement to work onsite at a
Fidelity work location for at least one week, 5 consecutive days,
every four weeks. These requirements are subject to change.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
Accommodation Team by sending an email to -, or by calling
800-835-5099, prompt 2, option 3.At Fidelity, we value honesty,
integrity, and the safety of our associates and customers within a
heavily regulated industry. Certain roles may require candidates to
go through a preliminary credit check during the screening process.
Candidates who are presented with a Fidelity offer will need to go
through a background investigation and may be asked to provide
additional documentation as requested. This investigation includes
but is not limited to a criminal, civil litigations and regulatory
review, employment, education, and credit review (role dependent).
These investigations will account for 7 years or more of history,
depending on the role. Where permitted by federal or state law,
Fidelity will also conduct a pre-employment drug screen, which will
review for the following substances: Amphetamines, THC (marijuana),
cocaine, opiates, phencyclidine.
Keywords: Fidelity Investments, Durham , Senior Machine Learning Engineer, Engineering , Durham, North Carolina
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