Contractor MLOP DevOps Engineer

Qualifications:

• Programming: Proficiency in Python, Bash, and scripting languages.
• Machine Learning Tools: Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• DevOps Expertise: Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions).
• Cloud Platforms: Familiarity with AWS (SageMaker, Lambda), Azure ML, or Google Cloud Platform AI Platform.
• Containerization & Orchestration: Proficiency with Docker and Kubernetes.
• Monitoring & Logging: Experience with Prometheus, Grafana, and ELK stack.
• Version Control: Knowledge of tools like Git, DVC, or MLflow.

Preferred Skills:

• Familiarity with workflow orchestration tools (e.g., Apache Airflow, Kubeflow).
• Understanding of distributed data processing tools (e.g., Spark, Hadoop).
• Knowledge of data governance and compliance requirements.

Education & Experience:

• Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.
• 9+ years of experience in DevOps or MLOps engineering.
• Proven experience Deploying and Managing Machine Learning Models in Production Environments.