MLOps Architect

Position: MLOps Architect 
Location: Remote/NJ-2-3 Times required Onsite whenever client ask

- overall Experience of #12-15 Yrs Experience supporting machine learning projects.
- Expert with ML 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 ML 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