Senior MLOps Engineer

Reston, VA - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Experience: 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 Bachelors or Masters 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

Experience: 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). A...