Senior Machine Learning Engineer

Company: Fidelity Investments
Location: Durham
Posted on: September 19, 2023

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