GCP ML Architect

OpenKyber LLC
United States
3 months ago

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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