Design, develop, and deploy scalable ML solutions in production environments
Collaborate with cross-functional teams to integrate ML models into business applications
Build and maintain data pipelines and orchestration workflows
Monitor and optimize ML systems for performance, reliability, and cost-efficiency
Develop APIs and services to support ML applications
Contribute to CI/CD processes and infrastructure for ML deployment
Provide technical leadership and mentorship to junior engineers
Stay current with emerging technologies and best practices in AI/ML engineering
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Bachelors degree or equivalent and 4+ years of experience in machine learning, software engineering, or data engineering
Experience building CI/CD with automation components
Hands-on experience with Databricks (This will serve as ML Platform)
Hands-on experience with Terraform
Hands-on experience with Kubernetes in multi-tenant environments
Understanding of operational aspects of DevOps (Licenses, Authorizations, etc)
Strong Cloud knowledge and experience (Azure preferred)
Need to have knowledge of how to set up a platform in a Centralized capacity
3+ years of experience with SQL
Monitoring of systems such as Dynatrace
3+ years of programming experience in Python, C, C++, Spark, Scala, and/or Java
Experience working within a matrix organization and managing internal/external relationships
Strong problem-solving skills with the ability to diagnose and resolve complex issues
2+ years of experience contributing to financial decisions
2+ years of leadership experience (direct, indirect, or cross-functional)
Willingness to travel up to 10% for business purposes
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.