Data Science AI Engineer, Professional
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. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
Gainwell Technologies is seeking a motivated Data Science & AI Professional with 3+ years of hands-on experience in AI/ML, data analytics, backend systems, and cloud engineering. This role focuses on designing, developing, and implementing intelligent, data-driven solutions to improve healthcare, enterprise systems, and customer experiences.
The ideal candidate combines a Computer Science foundation, strong data engineering and AI project experience, and a passion for deploying scalable AI systems that impact millions of users.
Your role in our mission
AI & Data Science Solutions
- Design, train, and deploy machine learning models for predictive analytics, generative AI, and NLP.
- Conduct data analysis and visualization using SQL, Pandas, and dashboards to uncover insights.
- Apply advanced AI/ML techniques to optimize workflows, enhance decision-making, and automate insights
AI Workflow Automation & Integration
- Build and integrate agentic AI systems for telemetry, monitoring, and workflow automation.
- Develop scalable APIs and data pipelines to support enterprise AI systems.
- Enhance MLOps practices (CI/CD, testing, monitoring) for reliable deployment.
Cloud & Backend Engineering
- Utilize AWS services (Lambda, Pinpoint, etc.) for enterprise-scale AI applications.
- Optimize backend queries, APIs, and workflows for system performance and stability.
- Collaborate on debugging, design, and production issue resolution.
Collaboration & Innovation
- Translate business requirements into AI/ML solutions and actionable insights.
- Partner with cross-functional teams to deliver end-to-end AI solutions.
- Stay current with generative AI frameworks, cloud automation tools, and industry trends.
What were looking for
- Bachelor’s in Computer and Information Science
- 3+ years of combined experience (internships, academic projects, and professional roles) in AI, data science, cloud engineering, and backend development.
- Proficient in Python, Java, C++, SQL, JavaScript, React, Node.js, Git, Linux/Unix.
- Strong in AWS services, REST APIs, and MLOps practices.
- Expertise in data analysis, dashboards, and backend optimization.
What you shoul expect in this role
- United States remote opportunity
- 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 September 30, 2025
The pay range for this position is $75,400.00 - $107,700.00 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 at Gainwell. You’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 , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our and visit our for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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