- Experience
- Any
- Salary
- INR 1,500,000 – INR 3,000,000 / year
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Graduates from any discipline are eligible to apply.
- Resume
- Required to apply
Where you'll work
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Job description
Job Overview
We are seeking a proficient MLOps Engineer to join our team at Glauben Technologies in Pune, India. This role requires comprehensive expertise in managing machine learning lifecycle and deploying models efficiently.
Key Responsibilities and Requirements
- Demonstrated strong proficiency in Python programming.
- Hands-on experience designing and managing machine learning workflows and MLOps processes.
- Deep understanding of the entire machine learning lifecycle management.
- Practical experience working with MLflow, Kubeflow, or Apache Airflow.
- Familiarity with continuous integration and continuous deployment (CI/CD) tools such as Jenkins, GitHub Actions, GitLab CI, or Argo CD.
- Strong hands-on expertise in containerization and orchestration using Docker and Kubernetes.
- Experience utilizing at least one major cloud platform, including AWS, Microsoft Azure, or Google Cloud Platform.
- Experienced in model deployment, monitoring, version control, experiment tracking, and maintaining model registries.
- Ability to develop and work with REST APIs using frameworks like FastAPI or Flask.
- Solid understanding of Linux operating systems and scripting capabilities.
Eligibility Criteria
Open to candidates who hold any graduate degree.
Minimum education
Bachelor's Degree
Skills
Tools & software
Docker
required
Kubernetes
required
Apache Airflow
required
Mlflow
required
Kubeflow
required