Contractor DevOps / MLOps Engineer
Raas Infotek LLC is hiring a remote Contractor DevOps / MLOps Engineer. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Raas Infotek LLC
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Our client is seeking a consultant with 5+ years of experience in DevOps / MLOps Engineering to join the Data Science and AI team. The consultant will be creating and maintaining robust, scalable, and efficient CI/CD pipelines for our machine learning models and data processing workflows.
Consultant will collaborate with cross-functional teams to streamline and automate the end-to-end deployment processes, ensuring our AI/ML initiatives are delivered with high quality and speed
- Develop and Implement CI/CD Pipelines: Design, build, and maintain continuous integration and deployment pipelines for machine learning models and data processing workflows.
- Automation and Orchestration: Develop and continuously improve automation solutions to enable teams to build and deploy code efficiently and consistently.
- Promote DevSecOps Principles: Foster a DevSecOps culture across the Analytics & Innovation organization, ensuring security is integrated into the development process.
- Lifecycle Streamlining: Streamline the data science and development lifecycles by identifying and resolving pain points and productivity barriers.
- Collaboration: Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production.
- Monitoring and Troubleshooting: Implement monitoring and logging solutions to ensure the health and performance of deployed models and systems, and troubleshoot issues as they arise.
- Security and Compliance: Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements.
- Documentation: Maintain comprehensive documentation of systems,
- Education: Bachelor s Degree in Computer Science, Engineering, or a related field.
- Experience: 5+ years of experience in DevOps, MLOps, or a related field.
- Azure DevOps and AzureML experience
Technical Expertise:
- Proficiency in cloud platforms (AWS, Azure, Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
- Strong programming skills in Python, Bash, PowerShell or other scripting languages.
- Experience with infrastructure as code (Terraform, ARM).
Tool Proficiency:
- Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines).
- Knowledge of machine learning frameworks (TensorFlow, PyTorch) and data processing tools (Apache Spark, Airflow).
Nice to have:
- Advanced Analytics Tools: Experience with advanced analytics tools and methodologies, including monitoring and logging solutions (Azure Monitor, Prometheus, Grafana).
- Agile Methodologies: Experience working in Agile development environments.
- AZ-400 DevOps Engineer Certification is desired.
- Experience with Data Science and Machine Learning teams is desired.