Fidelity TalentSource - Cloud Engineer (Machine Learning Ops)

Cloud Developer is needed in Boston, United States.

Client: Fidelity TalentSource

Location: Boston, MA

Contract: Temporary

Job Description

Fidelity TalentSource is currently sourcing for an AWS Cloud Engineer (Machine Learning Ops) in Boston, MA. As a Senior AWS Cloud Engineer with Machine Learning Ops responsibilities include building and maintaining large scale ML Infrastructure and ML pipelines. You will contribute to building an advanced analytics and machine learning platform, enabling prediction and optimization of models. Additionally, you will extend existing ML Platform and frameworks for scaling model training & deployment and collaborate with various business & engineering teams.

Requirements

• Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science).
• Experience with ML Ops and Object-Oriented Programming (Java, Scala, Python).
• Proficiency in SQL, Unix scripting, and exposure to Python’s ML ecosystem.
• Experience building cloud-native applications using AWS services such as S3, RDS, CFT, etc.
• Experience with data pipelines and distributed data processing frameworks.
• Strong knowledge of developing scalable distributed systems using Open-source technologies.
• 5+ years of experience in implementing Big data solutions in data analytics space.
• Experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.
• Experience with CI/CD tools, version control, and orchestration tools.
• Solid experience in Agile methodologies.

Other Information

The role entails designing and developing feature generation & store framework, operationalizing ML models at scale, building tools for detecting shifts in data/features, and exploring new technology trends. Fidelity TalentSource provides temporary staffing for Fidelity Investments, offering diverse and inclusive workplace opportunities across various locations.