Data MLOps engineer

Production Modeling Corporation (PMC)

PMC is seeking a Data MLOps Engineer to join the VWGoA Enterprise Data and Advanced Analytics team. This role involves collaboration with cross-functional teams to implement data-driven solutions that enhance business processes. The focus is on utilizing cutting-edge technologies to support data ingestion, optimize processes, and perform research on emerging methodologies.

In this role you can expect to have the responsibilities:

• Design and develop complex data pipelines using tools like Informatica and Python.
• Build scalable data ingestion and processing systems utilizing GCP Dataflow and Cloud Functions.
• Implement CI/CD workflows with GitHub Actions and Argo CD for pipeline automation.
• Deploy and monitor data science solutions using Google’s Vertex AI and AWS Bedrock.
• Perform research on machine learning algorithms and tools, transitioning them to production.
• Select datasets and optimize data representations for projects.
• Enhance data prototypes for efficiency and reliability.
• Utilize Docker, Kubernetes, and other technologies for development.
• Collaborate with experts to solve organizational data challenges.
• Analyze large datasets to extract insights and inform business decisions.
• Present results and collaborate on project implementations.

This role comes with the following benefits:

• Competitive annual salary
• Opportunity to work in a hybrid setting

This role requires you to have:

• MLOps experience
• Proficiency in Python and Deep Learning
• Experience in Neural Networks
• SQL expertise
• Strong command of Linux

You would benefit from having:

• Familiarity with Docker and Kubernetes
• Knowledge of AWS, GCP, Jira, and Confluence
• Experience with GitHub and GitLab
• Understanding of parallelization using Spark

Candidates should have a Bachelor's degree in Computer Science, Information Systems, or a related field. Knowledge in data mining and computational statistics is crucial.