Machine Learning Engineer (Data Engineering)

Insight Global; Chicago (IL); On-site; USD 76,000 - 83,000; Full time

Job summary

Insight Global seeks a Machine Learning Engineer to support AI initiatives by building and maintaining the data foundation for model development, deployment, and reporting. The role blends data engineering, ML, and BI to enable scalable AI solutions.

Responsibilities include designing scalable data pipelines, developing ML models, optimizing Oracle and PostgreSQL environments, and building dashboards to reveal insights from AI-driven processes.

Qualifications

• 4+ years of experience in Data Engineering, Machine Learning Engineering, or a related field.
• Strong experience designing and maintaining data pipelines, ETL/ELT processes, and large-scale data workflows.
• Advanced SQL skills and experience working across multiple database platforms.
• Strong experience with Python for data processing, transformation, and machine learning applications.
• Experience with PostgreSQL and Oracle databases.
• Experience with MicroStrategy reporting and dashboard development.
• Experience with classical machine learning models.
• Experience with NLP models including BERT, NER, embeddings, and semantic search.
• Experience supporting AI workflows through vector databases, model serving, or batch inference pipelines.
• Healthcare or specialty pharmacy domain experience.

Responsibilities

• Design and build scalable data pipelines supporting AI and analytics initiatives
• Develop and maintain machine learning models and supporting infrastructure
• Manage and optimize Oracle and PostgreSQL environments used by AI applications
• Build reporting and dashboards that provide insight into operational and AI-driven processes
• Support model deployment, monitoring, and evaluation processes
• Ensure data quality, reliability, compliance, and security across all platforms
• Partner with AI engineers and business stakeholders to translate requirements into scalable technical solutions

Tools

PostgreSQL

Oracle

MicroStrategy

Job description

Job Description

An employer is seeking a Machine Learning Engineer to join a large healthcare organization who will support AI initiatives by building and maintaining the data foundation required for model development, deployment, and reporting. This role combines data engineering, machine learning, and business intelligence to enable scalable AI solutions.

Responsibilities

• Design and build scalable data pipelines supporting AI and analytics initiatives


• Develop and maintain machine learning models and supporting infrastructure


• Manage and optimize Oracle and PostgreSQL environments used by AI applications


• Build reporting and dashboards that provide insight into operational and AI-driven processes


• Support model deployment, monitoring, and evaluation processes


• Ensure data quality, reliability, compliance, and security across all platforms


• Partner with AI engineers and business stakeholders to translate requirements into scalable technical solutions

Pay: $55-60/hour

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 [e-mail] 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

• 4+ years of experience in Data Engineering, Machine Learning Engineering, or a related field


• Strong experience designing and maintaining data pipelines, ETL/ELT processes, and large-scale data workflows


• Advanced SQL skills and experience working across multiple database platforms


• Strong experience with Python for data processing, transformation, and machine learning applications


• Experience with PostgreSQL and Oracle databases


• Experience with MicroStrategy reporting and dashboard development


• Experience with classical machine learning models


• Experience with NLP models including BERT, NER, embeddings, and semantic search


• Experience supporting AI workflows through vector databases, model serving, or batch inference pipelines


• Healthcare or specialty pharmacy domain experience