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Tech Stack
Tools & technologiesDockerKubernetesPython
About the role
Key responsibilities & impact- Drive the operational excellence of our AI/ML Platform
- Design and implement automated deployment pipelines
- Collaborate with teams to maintain scalable infrastructure
- Develop and maintain monitoring and logging systems
- Work closely with data engineers for efficient data pipelines
- Implement version control systems for machine learning models
- Contribute to the governance of machine learning models
- Enforce security best practices in MLOps
- Identify opportunities for process automation
- Contribute to incident response and system recovery
Requirements
What you’ll need- BS or MS in Computer Science, or related field
- 5+ years of hands-on experience in DevOps and MLOps
- Proficiency in implementing Infrastructure as Code practices
- Strong expertise in containerization technologies (Docker, Kubernetes)
- Experience in setting up and managing CI/CD pipelines
- Strong scripting skills in Python, Bash, or similar languages
- Familiarity with monitoring and logging tools
- Understanding of security best practices in MLOps
- Excellent collaboration and communication skills
- Proven ability to troubleshoot and resolve complex operational issues
Benefits
Comp & perks- Annual cash bonuses
- Comprehensive benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
DevOpsMLOpsInfrastructure as CodecontainerizationDockerKubernetesCI/CD pipelinesscriptingPythonBash
Soft Skills
collaborationcommunicationtroubleshootingproblem-solving
Certifications
BS in Computer ScienceMS in Computer Science