Senior MLOps Engineer

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Design, construct, and sustain scalable machine learning pipelines for training, testing, and deployment.

• Deploy and manage machine learning models, ensuring their performance, reliability, and effective monitoring.

• Collaborate with data scientists and engineers to enhance experimentation and deployment workflows.

• Apply CI/CD methodologies for machine learning systems (ML CI/CD).

• Oversee and optimize cloud-based infrastructure for machine learning workloads.

• Create monitoring, logging, and alerting systems to track model performance and data drift.

• Guarantee reproducibility, version control, and governance of machine learning models and datasets.

• Promote best practices in MLOps, DevOps, and software engineering.

⛳️ Requirements

• Over 5 years of experience in software engineering, DevOps, or MLOps positions.

• Proficient programming skills in Python (with familiarity in Java or Go considered an advantage).

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or equivalent.

• Practical experience with containerization and orchestration tools (like Docker and Kubernetes).

• Familiarity with cloud service platforms (AWS, GCP, or Azure).

• Acquainted with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).

• Solid understanding of data pipelines, distributed systems, and API development.

• Experience with monitoring tools and logging frameworks.

🏝️ Benefits

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• [Add additional benefits here]

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