Payrate: up to 115/hr.
W-2, based on experience.
C2C available.
Benefits: Health, Dental & Vision Insurance is available.
Health savings account, Flexible spending accounts, Life insurance and Retirement plan are also available.
We are currently seeking an experienced Python Developer - Data Engineer type resource to assist our client in the development of a scalable, high-performance data and AI platform using Amazon Web Services (AWS).
Must possess AWS with deployment automation using as Terraform and Cloud Formation.
This is an onsite position (no hybrid)
1 st Interview MS Teams (virtual) and 2 nd interview is onsite/in-person (no exceptions)
The ideal candidate will combine strong software engineering principles, including OOP, with deep expertise in cloud platform engineering to build robust data and AI platform that drive business insights and decision-making.
Top daily responsibilities:
" Development of reusable Python libraries for Data and AI projects
" Development of AWS Infrastructure as Code ( IaC) templates
" Development of Data and AI project templates
Other responsibilities include:
- Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems
- Design and implement frameworks and tools to streamline the machine learning process
- Automate manual ML pipelines including model training, registration, promotion, and inferencing
- Leverage software architecture and design patterns to develop fault tolerant software components
- Convert research-based machine learning models into production-ready software
- Implement processes to ensure coding standards, code quality, documentation, and test coverage
- Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization
- Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK
- Establish CI/CD pipelines for platform deployments and automated testing
Qualifications (Must be on resume):
- 5+ years of programming experience in Python building and developing large, distributed, mission critical systems
- AWS with deployment automation using as Terraform and Cloud Formation
- Data pipeline development expertise
- Experience in testing, packaging, and deploying machine learning models
- Experience in software engineering practices such as:
- Design Principles and Patterns
- Unit Testing
- Refactoring
- CI/CD
- version control
- Expertise in Object-Oriented Design ( OOD) principals and Functional Programming Principals ( OOP)
- Experience in implementing distributed computing systems
- Experience in designing modular, reusable software components
- Experience in developing API endpoints and microservices
- Knowledgeable of MLOps Principles
- Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.