Machine Learning Engineer

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.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

Skills and Requirements:

• 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
• Graduate degree in a technical discipline
• Experience deploying ML models at scale using open-source tools (e.g., Kubeflow, Seldon)
• Experience with DAG-based orchestration systems (Airflow, Prefect)
• Experience with data pipelines using Apache Spark or Databricks
• Familiarity with ML registries (MLFlow)
• Experience with CI/CD pipelines (Tekton, Azure DevOps, GitHub Actions)
• Strong troubleshooting skills for distributed systems and performance optimization
• Experience writing and deploying production-grade Python applications and libraries
• Experience deploying and maintaining event-driven and reactive ML applications
• Experience with batch and streaming ML deployment systems
• Experience with REST API development