MLOps Engineer

ComfNet Solutions GmbH

8 years

0 Lacs

India

Posted:22 hours ago| Platform:

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Skills Required

mlflow pipeline ml containerization docker orchestration aws gcp azure monitoring logging model data airflow python tensorflow pytorch tuning devops engineering

Work Mode

Remote

Job Type

Full Time

Job Description

NOTE: Timings: 4-6 hours overlap with GMT (Arabian Standard Time)

Position 1: MLOps Engineer

Experience:
5–8 years
Contract Duration:
6 months (extendable)
Budget:
1 Lakh / Month fixed
Location:
Remote

Must-Have Skills (5–8 Years):

Strong experience with
MLOps tools and frameworks
(e.g., MLflow, Kubeflow, SageMaker)
Proficiency in
CI/CD pipeline creation for ML workflows
Hands-on experience with
containerization tools
such as Docker and orchestration using Kubernetes
Good understanding of
cloud platforms
(AWS/GCP/Azure) for deploying and managing ML models
Expertise in
monitoring, logging, and model versioning
Familiarity with
data pipeline orchestration tools
(Airflow, Prefect, etc.)
Strong
Python programming
skills and experience with ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Knowledge of
model performance tuning and retraining strategies
Ability to collaborate closely with Data Scientists, DevOps, and Engineering teams

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