GCP ML Architect
OpenKyber LLC
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Software Quality
Computer Programming
Continuous Integration
Software Debugging
DevOps
Identity and Access Management
Python (Programming Language)
Machine Learning
+16 more
Tensorflow
Software Construction
Pytorch
Delivery Pipeline
Gitlab
Git
Containerization
Scikit Learn
Information Technology
AWS Glue
AWS Fargate
Machine Learning Operations
Functional Programming
Software Version Control
Docker
Jenkins
Requirements
- 15+ years of overall exepreince - Proven experience (6+ years preferred) in MLOps, DevOps, or a related role, with hands-on experience in developing and deploying ML applications at scale.
- Programming Proficiency: Strong proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- AWS Expertise: In-depth experience with key AWS services for ML and data, including Amazon SageMaker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM.
- MLOps Tools: Experience with containerization (Docker), orchestration (ECS//EKS), CI/CD tools (GitLab, AWS CodePipeline, Jenkins), and workflow orchestrators (AWS Step Functions, Apache Airflow ).
- Financial Domain Knowledge (Preferred): Familiarity with the specific challenges and regulatory environment surrounding financial modeling and data is a strong plus.
- Software Engineering Best Practices: Solid understanding of software system design, microservice implementation, development lifecycle, including testing, debugging, version control (Git), and code quality standards.
- Problem-Solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex, interconnected systems.
- Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field
- Certifications (Preferred): AWS Certified Machine Learning - Specialty certification, AWS Certified Solutions Architect Associate, or other relevant cloud certifications.
About the company
About SES: OpenKyber, founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, OpenKyber is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
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