AI/ML Engineer

As an AI/ML Engineer for Insight Global, you will spend the majority of their time building and training predictive machine learning models focused on identifying customer dormancy patterns, working hands-on in Python and leveraging various ML libraries based on the use case. They will regularly analyze and prepare data within Snowflake or similar data lakehouse environments while designing data pipelines and leveraging existing MLOps infrastructure to deploy models into production. The role requires full ownership of the model lifecycle, taking solutions from development through deployment into a production-ready state. About 30% of their time will be spent building and integrating GenAI-powered agentic workflows using cloud-based services like AWS Bedrock or SageMaker, supporting broader AI initiatives. They will continuously evaluate model performance, iterate on improvements, and ensure outputs align with business goals tied to customer re-engagement. The engineer will collaborate with stakeholders to translate business problems into technical solutions and adapt quickly to new tools as the company builds out its foundational AI capabilities, all within a highly hands-on engineering environment where development is the primary focus and MLOps serves as a supporting function

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

5+ year's of experience developing classic ML, supervised ML, and GenAI models along with hands on experience deploying them into production
○ Familiarity with prediction orientated ML, linear regression, and graph trees
○ Working history with MLOps infrastructure (pipelines) and AI tools for developing and deploying ML/AI solutions
Strong coding experience with Python and experience leveraging various ML libraries
Ability to conduct data engineering and analysis leveraging data lake houses (such as Snowflake or Databricks)
Experience building agentic workflows leveraging cloud based AI services (not necessarily fully autonomous agents)

Experience with an AWS tech stack (Agentcore & Bedrock)
Experience with Snowflake & Cortex AI

Benefit packages for this role will start on the 1st 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.