Data Science AI Engineer, Advisor
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Overview
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Gainwell offers work flexibility, learning, and career development, with opportunities to grow your technical credentials and certifications, a generous vacation policy, educational assistance, and leadership and technical development academies.
Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including GenAI, across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Your role in our mission- AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
- End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
- Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
- System Integration – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration.
- Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
- AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
- Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
- Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
- Master’s or Ph.D in Computer Science, AI, Data Science, or a related field.
- 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
- Hands-on expertise in machine learning, deep learning, GenAI, NLP, and computer vision.
- Strong programming skills in Python, Tensor Flow, PyTorch, and other AI frameworks.
- Experience developing, deploying and fine tuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps for scalable AI deployments.
- Proficiency in working with big data technologies (Spark, Hadoop, SQL, No
SQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
- Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
- Fully Remote Opportunity – Work from anywhere in the U.S.
- Minimal Travel Required – Occasional travel opportunities (0-10%).
- Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
- Video cameras must be used during all interviews, as well as during the initial week of orientation
- The Deadline to submit applications for this posting is February 24, 2026
The pay range for this position is $ – $ per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work ’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance.
We also have a variety of leadership and technical development academies to…
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