Senior DevOps Engineer / ML Ops
Description For Senior DevOps Engineer / ML Ops
Envision Employment Solutions is seeking a Senior DevOps Engineer / ML Ops to join their team, working with a global leader in consulting and digital transformation. This role combines traditional DevOps responsibilities with ML Operations, requiring expertise in both areas. The position demands proficiency in cloud platforms, containerization, and CI/CD pipelines, while also focusing on machine learning model deployment and monitoring. The role requires flexibility to work on US times and potential international travel. The ideal candidate will have strong experience in Linux/Unix systems, cloud platforms, and infrastructure automation, combined with the ability to build and maintain MLOps pipelines. This position offers opportunities for professional growth, competitive compensation, and comprehensive benefits, making it ideal for experienced DevOps engineers looking to work at the intersection of DevOps and Machine Learning.
Responsibilities For Senior DevOps Engineer / ML Ops
- Automate and streamline software build, test, and deployment processes using CI/CD pipelines
- Build and maintain robust and scalable infrastructure using cloud platforms and containerization technologies
- Manage and monitor infrastructure performance, availability, and security
- Implement and maintain infrastructure-as-code practices
- Collaborate with development teams to improve software quality and release velocity
- Implement and maintain monitoring and logging systems
- Participate in on-call rotations for infrastructure support
- Build and maintain MLOps pipelines for model training, validation, deployment, and monitoring
- Develop and implement tools for model versioning, tracking, and reproducibility
- Containerize and deploy machine learning models
- Integrate machine learning models with production systems and APIs
- Monitor model performance in production
- Ensure security and privacy of machine learning models and data
Requirements For Senior DevOps Engineer / ML Ops
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in DevOps or Systems Administration role
- Strong experience with Linux/Unix systems administration
- Experience with cloud computing platforms (AWS, Azure, GCP)
- Experience with containerization technologies (Docker, Kubernetes)
- Experience with CI/CD pipelines and tools
- Experience with scripting languages (Python, Bash)
- Experience with infrastructure-as-code tools
- Experience with monitoring and logging tools
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Benefits For Senior DevOps Engineer / ML Ops
- Competitive Salary based on experience
- Social and medical insurance
- Learning, development and career progression
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