Description

You will operationalize machine learning and optimization models by integrating them into production-ready software products.

Responsibilities

• Transform data science prototypes into production-ready software, including building APIs to serve and consume models.
• Build data APIs and delivery services that support operational and analytical applications.
• Develop user interfaces to visualize and interact with model results.
• Implement monitoring capabilities to verify inference accuracy and troubleshoot production issues.
• Integrate code continuously into on-premise and AWS cloud environments.
• Coach and mentor other developers on the team.

Required Skills

• 5-7 years of experience designing, developing, and running business, big data, or data science applications.
• 1-2+ years of hands-on experience working with AWS as a developer.
• Proficiency with Java, SQL, and building REST APIs.
• Experience developing Angular applications.
• Hands-on experience with AWS managed services including Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway.
• Experience developing infrastructure-as-code using AWS Cloud Development Kit or CloudFormation.
• Experience with CI/CD automation using Git, GitLab, or Jenkins.
• Experience working within Agile/Scrum methodologies and using backlog tools like JIRA or VersionOne.
• Strong system-level thinking and problem-solving skills.

Preferred Skills

• Experience with design patterns for microservices architecture and machine learning products.
• Experience deploying and managing infrastructure based on Docker, OpenShift, and AWS.
• Understanding of loose coupling of front-end modules on AWS.

Key Skills

Education

Bachelor's degree