AI/ML Engineer

Job Title: AI/ML Engineer
Work Location: MinneapolisMN55401

Detailed Job Description

The AI/ML Engineer will be responsible for delivering capital-funded cloud migration initiatives involving AI/ML and data platforms.

The resource will work closely with engineering, data, cloud, and business teams to migrate and modernize existing workloads while implementing scalable AI/ML solutions in the Azure ecosystem.

Key responsibilities include:

• Design, develop, and implement AI/ML solutions for enterprise applications and data platforms.
• Support the migration of existing AI, analytics, and data workloads to Microsoft Azure and Databricks.
• Develop scalable data processing and machine learning pipelines using Python, Spark/PySpark, and Airflow.
• Build and maintain Airflow workflows/DAGs for data and ML pipeline orchestration.
• Develop, train, evaluate, and optimize machine learning models.
• Apply strong AI/ML knowledge to solve complex business and technical problems.
• Collaborate with cloud and data engineering teams to modernize legacy workloads.
• Ensure migrated workloads meet performance, scalability, security, and reliability requirements.
• Troubleshoot and optimize cloud-based AI/ML and data processing workloads.
• Contribute to architecture, technical design, development, testing, deployment, and production support activities.
• Participate in enterprise-scale cloud migration and modernization programs.

Top 3 Responsibilities

1. AI/ML Engineering
   Design, develop, optimize, and productionize AI/ML solutions using Python and modern machine learning technologies.
2. Cloud Migration & Modernization
   Deliver capital-funded initiatives focused on migrating and modernizing AI/data workloads using Azure and Databricks.
3. Data & ML Pipeline Engineering
   Build and optimize scalable pipelines using Python, Spark/PySpark, and Airflow to support enterprise AI/ML workloads.