Description

You will architect and implement MLOps solutions for machine learning projects, owning the design and optimization of production deployment pipelines.

This role is on-site.

Responsibilities

• Design and optimize CI/CD pipelines for model deployments using Azure DevOps, Docker, and Azure Kubernetes.
• Implement efficient microservices frameworks, including API Management, message brokers, and load balancing.
• Troubleshoot, improve, and scale continuous integration, delivery, and deployment processes.
• Write design documents to build consensus for new system components and enhancements.

Required Skills

• 12-15 years of experience supporting machine learning projects.
• Expert proficiency with ML platforms such as TensorFlow and PyTorch.
• Proven experience with cloud platforms, specifically Azure, including Azure Databricks.
• Strong programming skills in Python and/or Java, with Object-Oriented Programming experience.
• Experience with big data tools like Hadoop and Spark, and databases including SQL and NoSQL.
• Mandatory knowledge of Azure Data Factory and ML Model deployment.
• Experience with automated testing and Agile methodologies.

Preferred Skills

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

Key Skills

Education

Any Graduate