Posting Title: ML DevOps
Experience: 7+ yrs
Location: Remote
Time Zone: 3pm to 12 am
Experience: 7+ years of experience in DevOps, with a focus on machine learning infrastructure.
Design, build, and manage ML infrastructure, including hardware, software, and cloud platforms.- Strong proficiency in Python and scripting languages (e.g., Bash, PowerShell).
Expertise in containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).- Understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
Education:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Competitive salary and benefits package Opportunities for professional growth and development
- Collaborative and supportive work environment
- If you are a passionate ML DevOps Engineer who is excited to contribute to the development and deployment of innovative machine learning solutions, we encourage you to apply
Kratika
9329148614
[Confidential Information]
Job Type: Full-time
Benefits:
Schedule:
Application Question(s):
What is your current CTC
Experience:
- Machine learning: 7 years (Required)
DevOps: 7 years (Required)
Work Location: Remote
+91 9329148614