MLOps Architect

MLOps Architect
Remote, US (EST area)

- overall Experience of 12-15 Yrs Experience supporting machine learning projects.

- Expert with Client platforms (e.g., TensorFlow, PyTorch).

- Experience with cloud platforms (e.g. Azure).

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven experience as a Data Engineer or in a similar role.

- Experience with big data tools (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).

- Knowledge of machine learning concepts and workflows.

- Strong programming skills (e.g., Python, Java).

- Excellent problem-solving abilities and attention to detail.

- Strong communication skills to effectively collaborate with other teams.

• Design and optimize pipelines for model deployments in production environments using containers (Docker or Azure Kubernetes), Azure DevOps and/or MLOps and Azure Data Factory.
• Knowledge of Azure Databricks pipeline and Client Model deployment is mandatory.
• Implement efficient microservices frameworks i.e. API Management, message broker, load balancing, etc
• Troubleshoot, improve, and scale continuous integration, continuous delivery, and continuous deployment (CI/CD) pipelines
• Write design documents to build consensus for new systems components and enhancements to existing components
• Extensive programming experience in Python and/or R with knowledge of Object-Oriented Programming.
• Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
• Demonstrated history of designing solution pipelines from conception to deployment in production environments e.g. Docker containers on Kubernetes-based platforms with data orchestration in Azure Data Factory

Nice to Have:

• Knowledge of JFrog Artifactory is a plus.
• Experience with front-end user interface development using various HTML-related tool frameworks like Django, FastAPI (Python), Java/Javascript etc
• Experience with in memory and/or distributed computing frameworks (e.g. Spark, Hadoop)
• Conduct performance testing on API endpoints and batch jobs to identify and correct CPU and memory bottlenecks