Insight Global
Machine Learning Project Manager
Insight Global, Chicago, Illinois, United States, 60290
This Product/Project Manager will be working with data science and machine learning organizations to drive solutions, projects and delivery. They will identify and track issues, bring in onboarding use cases etc. Responsible for coordinating across multiple business and technology organizations (specifically interfacing with the data science team, engineers, and cloud teams) to deliver transformed business-critical solutions efficiently and safely
* Focused on quality and on-time delivery of release(s). Approves integrated release plan, estimates resources, manages dependencies
* Ensures completeness of business and non-functional requirements, and leads deployments, operational readiness, and post-production support.
* Responsible for ensuring business and technology readiness for each program/project release
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/ . Technical background in data science or machine learning
Experience with AWS Sagemaker Exp with AWS feature stores
Model monitoring and ML Ops
LLM -- gen AI
No hands on technical just working with teams doing these things -- need someone who has exposure to teams building these
5-8+ years of experience as a project manager
Experience working with data science and machine learning teams as a PM
Experience with AWS
Understanding of feature stores
Understanding how data modeling and data model building
Experience interfacing with data science teams, engineers, and cloud teams
Documentation -- confluence and jira
* Focused on quality and on-time delivery of release(s). Approves integrated release plan, estimates resources, manages dependencies
* Ensures completeness of business and non-functional requirements, and leads deployments, operational readiness, and post-production support.
* Responsible for ensuring business and technology readiness for each program/project release
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/ . Technical background in data science or machine learning
Experience with AWS Sagemaker Exp with AWS feature stores
Model monitoring and ML Ops
LLM -- gen AI
No hands on technical just working with teams doing these things -- need someone who has exposure to teams building these
5-8+ years of experience as a project manager
Experience working with data science and machine learning teams as a PM
Experience with AWS
Understanding of feature stores
Understanding how data modeling and data model building
Experience interfacing with data science teams, engineers, and cloud teams
Documentation -- confluence and jira