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Job Description

Insight Global is seeking a forward thinking Senior AI/ML Engineering professional to support an enterprise manufacturing company's innovation center to develop custom solutions used across 50+ facilities within multiple divisions all things AI/ML/GenAI.

Day to Day:

Optimizing AI/ML data science models.

Standardizing access patterns for data and AWS resources.

Deploying data pipelines and AI/ML models.

Aggregating sources and harmonizing data for efficient AI/ML model consumption.

Orchestrate Sagemaker and SAS models across both SAS and AWS environments.

Collaborate closely with data science team, operations, and customers dedicated to ensuring proper testing, business outcomes and support.

Hands on lead for data consolidation and syndication (from various source systems including machine and sensor data in batch, near real-time, and real-time).

Participate in collaborative software design and development of pipelines and optimizing code on cloud technologies including tools like RedShift, S3, Lambda, Glue and other AWS services.

Manage own learning and contribute to technical skill building of the team.

Embrace the engineering mindset and systems thinking. Collaborate with IT Architect to design forward looking data solutions.

Support various business users in their need for existing and new data elements and subject areas.

Demonstrate technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven solutions

Collaborate with team members, business stakeholders and data SMEs to elicit requirements and to develop a technical design.

This is not a remote position and will require you to go into the office in Atlanta, GA 3 days a week.

Compensation will be determined by the hiring manager during the interview process, but will be within the range of 130-140k upon conversion after 6 months.

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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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/ .

Skills and Requirements

Experience optimizing AI/ML data science models.

Experience standardizing access patterns for data and AWS resources.

Experience deploying data pipelines and AI/ML models.

Experience aggregating sources and harmonizing data for efficient AI/ML model consumption.

Experience with Sagemaker and SAS models across both SAS and AWS environments.

Has led data consolidation and syndication (from various source systems including machine and sensor data in batch, near real-time, and real-time).

Experience with software design and development of pipelines and optimizing code on cloud technologies including tools like RedShift, S3, Lambda, Glue and other AWS services.

Knowledge in the SAS Data Science Modeling Tool. Bachelors degree in Engineering (preferably Analytics, MIS or Computer Science).

Experience with Terraform or other CI/CD DevOps automation.

Code Management Tools (Git/GitHub, GitLab, ADO/TFS)

Minimum 2 years on active big data development experience.

Good knowledge of cloud deployments of BI solutions including use of the AWS eco-system.

Experience of developing backend data solutions for data science models or front-end tools like Tableau, PowerBI, and/or Qlik Sense.

Markup Languages (JSON, XML, YAML)

Ability to pull together complex and disparate data sources, warehouse those data sources and architect a foundation to produce BI and analytical content, while operating in a fluid, rapidly changing data environment null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].