Description

You will design and optimize production pipelines for machine learning model deployments.

Responsibilities

• Design and optimize model deployment pipelines using Docker, Azure Kubernetes, and Azure Data Factory.
• Implement microservices frameworks including API Management, message brokers, and load balancing.
• Troubleshoot, improve, and scale CI/CD pipelines for continuous integration and deployment.
• Write technical design documents to build consensus for new system components and enhancements.
• Conduct performance testing on API endpoints and batch jobs to resolve CPU and memory bottlenecks.

Required Skills

• 12-15 years of experience supporting machine learning projects.
• Expertise with ML platforms such as TensorFlow and PyTorch.
• Mandatory knowledge of Azure Databricks pipelines and ML model deployment.
• Proficiency in Python or R with strong Object-Oriented Programming skills.
• Experience with Azure Cloud Services, including Azure Blob, Azure Key Vault, and Azure Data Factory.
• Hands-on experience with Azure DevOps and CI/CD automation.
• Proven experience with big data tools like Hadoop and Spark.
• Knowledge of SQL and NoSQL databases.
• Experience with containerization using Docker or Azure Kubernetes.

Preferred Skills

• Knowledge of JFrog Artifactory.
• Front-end development experience using Django, FastAPI, or Javascript.

Key Skills

Education

Any Graduate