
Machine Learning Operations Engineer
4 days ago
Job Overview:
We are seeking an experienced MLOps professional to join our team. As an MLOps Engineer, you will be responsible for designing, developing, deploying, and optimizing MLOps pipelines.
Key Responsibilities:
- Design and develop efficient MLOps pipelines using various tools and technologies
- Deploy and monitor ML models in production environments
- Collaborate with cross-functional teams to ensure seamless integration of ML workflows into existing infrastructure
Requirements:
- Expertise in MLOps pipeline design, development, and deployment
- Familiarity with AWS services such as SageMaker, SageMaker Pipelines, and Lambda
- Strong understanding of DevOps practices, CI/CD pipelines, and GitHub/GitLab workflows
- Experience with Python and other programming languages
- Excellent communication and collaboration skills
Benefits:
- Opportunity to work on cutting-edge ML projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
Preferred Qualifications:
- Masters or Ph.D. in Computer Science, Engineering, or related field
- 2+ years of experience in MLOps engineering or related field
- Strong background in machine learning and deep learning
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