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Sr. Full Stack Developer with Data Science Machine learning Experience

Octigo Solutions Inc
Minneapolis, MN Full Time
POSTED ON 3/5/2025
AVAILABLE BEFORE 5/5/2025

Job Details

Sr. Full Stack Developer with Data Science Machine learning Experience
Minneapolis, MN 55437 (hybrid)

Candidate Needs to Have:

  • Experience designing machine learning and data science products.
  • Knowledge of microservices architecture and AWS-based front-end decoupling.
  • Experience with Docker, OpenShift, and AWS infrastructure management.
  • Strong data engineering skills with experience in big data technologies.
  • Experience with Redux / Flux / NgRx state management.
  • Proficiency in Python-based API frameworks (Flask, FastAPI, GraphQL).
  • Expertise in SQL and NoSQL databases (PostgreSQL, AWS DynamoDB).
  • Experience with AWS Machine Learning tools (e.g., SageMaker).
  • Proficiency in data visualization frameworks (e.g., D3.js).
  • Experience in full-stack development with expertise in:
    • Angular for front-end development.
    • Java and SQL for back-end development.
  • Building REST APIs and integrating with cloud platforms.
  • Hands-on experience with AWS, focusing on managed services like Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway.
  • Experience with AWS infrastructure-as-code using Cloud Development Kit (CDK) or CloudFormation.
  • Proficiency in CI/CD automation (Git, GitLab, Jenkins).
  • Strong understanding of Agile/Scrum methodologies and backlog management tools (e.g., JIRA, VersionOne).

Job Description:

  • Work closely with Data Scientists and Data Engineers to operationalize machine learning and optimization models.
  • Develop data APIs and data delivery services for critical operational and analytical applications.
  • Ensure smooth integration and deployment of model code, data pipelines, APIs, and UI components.
  • Troubleshoot production issues and support deployed applications.
  • Continuously integrate and deploy solutions on on-premise and AWS cloud environments.
  • Optimize solutions for performance, scalability, and reliability.
  • Adhere to Delta s development methodologies, standards, and best practices.
  • Coordinate with internal and external technology service providers.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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