MLOps Engineer

2 weeks ago

Dubai, India Marc Ellis Full time

Required Skills :

- 2-5 years of experience in ML Ops, DevOps, or related roles, with a focus on machine learning model deployment.

- Strong programming skills in Python, with experience in writing automation scripts and building tools for operational efficiency.

- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Familiarity with Docker, Kubernetes, and other containerization and orchestration tools.

- Hands-on experience with CI/CD pipelines for machine learning models.

- Knowledge of cloud platforms (AWS, GCP, Azure) and their ML services for deployment and scaling.

- Understanding of model monitoring, logging, and performance optimization techniques.

- Experience with version control systems like Git, and infrastructure-as-code tools like Terraform or CloudFormation.

- Excellent problem-solving skills and the ability to troubleshoot production-level issues.

Preferred Skills :

- Experience with workflow orchestration tools like Airflow or Kubeflow.

- Familiarity with model explainability tools and techniques.

- Knowledge of data engineering practices, including ETL and data pipelines.

- Experience with monitoring tools like Prometheus or Grafana.

(ref:hirist.tech)

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