MLOPs Engineer

Job Type 6 Months C2H

Location Hyderabad/Bangalore

Role and Responsibilities

Role:

As an MLOps Engineer you will play a critical role in bridging the gap between data science and production ensuring our machine learning models are deployed efficiently reliably and securely. You will work closely with data scientists software engineers and product managers to design build and maintain our MLOps infrastructure and pipelines. You will also be responsible for monitoring model performance identifying and resolving issues and continuously optimizing our ML workflows.

Responsibilities:

• Design implement and maintain MLOps pipelines for model training deployment and monitoring
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes
• Experience with cloud platforms like AWS Azure or GCP
• Proficiency in CI/CD tools such as GitLab CI/CD GitHub Actions or CircleCI
• Solid programming skills in Python Java or Go and experience in scripting and automation**
• Experience with MLOps frameworks like Kubeflow MLflow Airflow etc.
• Monitor model performance and identify potential issues
• Collaborate with data scientists and software engineers to improve the efficiency and reliability of our ML workflows
• Stay uptodate on the latest MLOps trends and technologies

Desired Skills

• Bachelors degree in Computer Science Software Engineering or related field
• 3 years of experience as an MLOps Engineer or related role
• Strong understanding of machine learning concepts and algorithms
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Passion for building scalable and efficient solutions

MLOps Engineer,Cloud Platform,CI/CD,Python,Core Java