Senior Scientific Officer - MLOps and DevOps-Senior Scientific Officer

2 - 5 years

10 - 11 Lacs

Posted:14 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Design and implement MLOps/DevOps pipelines for scalable deployment of AI/ML models.
  • Collaborate with data scientists and software engineers to integrate models into production environments.
  • Manage cloud infrastructure (Azure, AWS, GCP) for hosting applications and data services.
  • Automate CI/CD workflows for model training, testing, and deployment.
  • Monitor model performance and ensure version control, reproducibility, and rollback mechanisms.
  • Develop containerized applications using Docker and orchestration using Kubernetes.
  • Ensure data security, compliance, and efficient data flow across systems.
  • Support development of APIs and microservices for digital agriculture platforms.
  • Maintain documentation and provide technical support to research teams.

Required Skills and Qualifications:

  • Master s degree in computer applications, Computer Science, Information Technology, or any related fields.
  • Relevant experience of at least 2-5 years in MLOps/DevOps roles, preferably in research or data-intensive environments is mandatory
  • Proficiency in Python and scripting for automation.
  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model lifecycle management.
  • Understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (Terraform, Ansible).
  • Understanding of data versioning tools (DVC, MLflow) and monitoring tools (Prometheus, Grafana).
  • Excellent problem-solving, communication, and documentation skills.

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Icrisat

Agriculture, Research and Development

Hyderabad

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