Job Location: United States
About us:
Capstone Integrated Solutions is a full-service software and services company based in the Hudson Valley, NY (60 Miles from NYC). We are looking for an AWS Machine Learning Developer to join our product team.
You will:
- Take responsibility for ensuring that model code, data pipelines, APIs, and user interfaces are developed and deployed successfully into production, and troubleshooting issues that arise
- This position will partner with Data Scientists and Data Engineers to operationalize machine learning and optimization models that deliver new insights to the business
- Continuously integrate and ship code into AWS cloud environments
- Transform data science protypes into production-ready software products
- Build data APIs and data delivery services that support critical operational and analytical applications.
- Ensure a good data flow between database and backend systems
- Optimizing solutions for performance and scalability
- Ensure that the technical solutions meet the customers’ business goals and that customer satisfaction with the project and conclusion is high.
- Coordinate activities with internal/external technology owners/service providers.
- Coach and mentor other developers on the team
Requirements:
- Bachelor’s Degree in Computer Science, Computer or Electrical Engineering, or a related field
- 5+ years consulting with end customers (highly capable of customer facing engagements)
- AWS Certified Machine Learning or Certified Developer
- 5-7 years of experience hands-on experience designing, developing, integrating, and running business, big data and/or data science applications
- 5+ years of hands-on experience working with AWS as a developer
- 2+ Years experience working with AWS Machine Learning tools (e.g., AWS SageMaker)
- 5+ Years experience developing with Python and Java,
- 5+ Years experience working with AWS services with an emphasis on managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway
- Experience developing infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation)
- Experience with automating application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)
- Experience using Agile/Scrum methodologies
- Experience with backlog management tools (e.g., VersionOne, JIRA)
- Strong problem-solving skills and capability to understand and set direction for complex technology integration
What will give you a competitive edge (preferred qualifications):
- Experience with design patterns and implementation for machine learning and data science products
- Experience with design patterns and implementation using microservices architecture
- Understanding or experience with loose coupling of front-end modules on AWS
- Experience with AWS Glue and EMR with Apache Spark/Hadoop
- Experience with AWS Kinesis
- Experienced with deploying and managing infrastructures based on Docker, OpenShift, and AWS
- Knowledge of data engineering and experience with big data
- Experience with Redux/Flux/NgRx store implementa
- Experience developing, testing and deploying APIs using Python-based frameworks such as Flask, FastAPI and/or GraphQL
- Experience with writing and testing complex SQL queries (e.g., queries involving joins and subqueries) and experience with both SQL and NoSQL databases (PostgreSQL and AWS DynamoDB preferred)
- Experience with data visualization frameworks such as D3
- Understanding and focus on business outcomes
- Strong teamwork skills
***Must be authorized to work in the U.S.***
Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we’re dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn’t perfectly align with what we have listed. We look forward to hear from you.
We offer:
Job Type: Full-time
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
- Work Location: Remote
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