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MLOPS

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Job Detail

  • Job Title

    MLOPS

  • Location

    None

  • Skills

    Strong knowledge of machine learning workflows and lifecycle.

    Proficiency with Python, Bash, and infrastructure-as-code tools (Terraform, Ansible).

    Experience with CI/CD tools (GitLab CI, Jenkins, or GitHub Actions).

    Hands-on experience with Docker, Kubernetes, and cloud platforms.

    Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

    Experience with ML model tracking and experiment management tools (MLflow, DVC).

    Excellent problem-solving and cross-functional communication skills.

     

Discover your talent

Collaborative Workspace

We don’t care whether you are a fresher or an old hand. Collaboration is key and we make sure everyone is accessible for any sort of discussion. We don’t care how you communicate, as long as you do.

Putting People First

We recognize skill, knowledge and common sense.Guided by our core value - we never let your teammates down - we believe honesty and transparency make a solid foundation for any successful individual and team.We have leaders who are only too happy to guide you, to nurture you.

Join Our Community

We are educators. But, we are also students. At infyni we believe that learning is an eternal process, one that constantly keeps us young and inquisitive.There are no boundaries to your role and the transparency and exposure that you get is unparalleled! So, you never have to stop broadening your horizon.

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