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MLOps Engineer

Status: Full Time, Employee

Experience: 4+ years

Qualification: B.Tech./ B.E./ M.Tech degree in Computer Science or equivalent software engineering

Location: Baner, Pune

Roles & Responsibilities:

  • Design and implement ML model deployment pipelines, ensuring models are versioned, scalable, and accessible.
  • Collaborate with data scientists and software engineers to integrate ML models into production systems.
  • Monitor and manage the performance of deployed models, including troubleshooting and updating models as necessary.
  • Develop and maintain documentation for machine learning operations processes and best practices.
  • Ensure compliance with data privacy and security policies throughout the ML lifecycle.
  • Optimize ML and data processing pipelines for performance and cost efficiency.
  • Stay updated with the latest technologies and trends in MLOps, machine learning, and AI.


  • 4+ years of hands-on experience in deploying and managing ML models in production environments.
  • Strong programming skills in Python, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with cloud services (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
  • Knowledge of CI/CD practices and tools (e.g., Jenkins, GitLab CI).
  • Familiarity with data pipeline and workflow management tools (e.g., Airflow, Kubeflow).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills to work effectively across teams.

What We Offer You:

  • A constant stream of new things for you to learn. We're always expanding into new areas and exploring new ideas.
  • A set of extraordinarily talented and dedicated peers.
  • A stable, collaborative, and supportive work environment.


It will be the best in the industry and according to experience of the candidate and company norms.

To apply for this position, please email your resume to careers@xecurify.com and simply mention in the subject as MLOps Engineer.

Questions about joining miniOrange?

Feel free to contact us at careers@xecurify.com