ML OPS
Require 8+ years of experience backend engineering experience (e.g., Python, APIs, cloud infrastructure)
1. Strong backend engineering experience (e.g., Python, APIs, cloud infrastructure).
2. Hands-on experience with machine learning — model development, training pipelines, and/or ML-based feature building.
3. Ability to work independently and integrate with an existing engineering team.
4. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and data tooling.
5. Expertise in CI/CD toolchains (Jenkins, Github, CI).
6. Proficiency in container orchestration systems (Kubernetes, Docker).
7. Strong background in cloud services (AWS, ISCloud).
8. Skilled in infrastructure as code (IaC).
9. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK)
10. Scripting languages: Shell, Python, Groovy.
11. Develop, maintain, and improve the CI/CD process for applications across multiple platforms.
12. Collaborate with development teams to integrate new deployment processes and strategies.
13. Monitor automated systems recovery solutions and ensure system security and stability.
14. Conduct system tests for security, performance, and availability.
15. Strong problem-solving and teamwork skills.
16. communication and organizational abilities
Pay: ₹923,856.93 - ₹2,456,895.35 per year
Experience:
- IT: 8 years (Required)
- MLoPs: 4 years (Required)
Work Location: Remote