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Fidelity TalentSource jobs

Lead Software Engineer - Machine Learning

140,000 - 185,000 USD
Fidelity TalentSource
Seaport Boulevard 200, Boston
140,000 - 185,000 USD
Company Size icon
Company Size
1k-5k
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- I have a Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, etc.). - I possess 8+ years of proven experience in implementing Big data solutions in the data analytics space. - I have 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker. - I bring extensive experience working with machine learning models concerning deployment, inference, tuning, and measurement. - I am skilled in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting, and have exposure to Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.). - I have experience building data pipelines to gather the necessary data for building and evaluating ML models, using tools like Apache Spark or other distributed data processing frameworks. - I am knowledgeable in 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. - I have strong expertise in developing highly scalable distributed systems using open-source technologies. - I am familiar with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), and orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent). - I have solid experience in Agile methodologies (Kanban and SCRUM).

Technologies

Airflow
Big Data
CI/CD
Graph Database
Jenkins
Kanban
Kubeflow
Machine Learning

Responsibilities

- As a Machine Learning Engineer, I will build and maintain large-scale ML Infrastructure and ML pipelines. - I will contribute to the development of advanced analytics, machine learning platforms, and tools to enable both prediction and optimization of models. - I will extend existing ML Platform and frameworks for scaling model training and deployment. - I will partner closely with various business and engineering teams to drive the adoption and integration of model outputs. - I will design and develop a feature generation and store framework that promotes the sharing of data and features among different ML models. - I will partner with Data Scientists to help create a foundational platform for building and training models. - I will operationalize ML Models at scale to serve predictions on tens of millions of customers. - I will build tools to detect shifts in data/features used by ML models to identify issues in advance of deteriorating prediction quality and automate prediction explanation for model diagnostics. - I will explore new technology trends to simplify our data and ML ecosystem, drive innovation, and implement future-thinking solutions. - I will guide teams to improve development agility and productivity while resolving technical roadblocks and mitigating potential risks. - I will deliver system automation by setting up continuous integration/continuous delivery pipelines.

Description

Safety is our top priority, and once we can be together in person with fewer safety measures, this role will follow our dynamic working approach. I understand that you may need to spend some of your time onsite depending on the nature and needs of your role. Our aim is to combine the best of working offsite with coming together in person. This means a consistent balance of working from home and the office that supports the needs of your role, experience level, and working style. Your success and growth are important to us, as we believe in the benefits of face-to-face learning, building your career network, and leveraging social experiences Fidelity offers. Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms. We welcome individuals from all backgrounds to fill assignments across Fidelity’s U.S.-based locations. If you're looking to experience our supportive and collaborative culture, consider a role with us. We are committed to attracting, developing, and retaining a diverse workforce while fostering a culture of inclusion and belonging. We will reasonably accommodate applicants with disabilities needing adjustments to participate in the application or interview process. At Fidelity Investments, our customers are at the heart of everything we do. Our mission remains unchanged: to strengthen the financial well-being of our clients. We help people invest and plan for their future while providing investment and technology solutions to various organizations.
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