Improve healthcare, enterprise systems, and customer experiences by designing, developing, and implementing intelligent, data-driven solutions
Requirements
- 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
- Experience with machine learning models for predictive analytics, generative AI, and NLP
- Knowledge of advanced AI/ML techniques for workflow optimization and automation
- Familiarity with cloud automation tools and industry trends
- Experience with CI/CD, testing, and monitoring for reliable deployment
Responsibilities
- 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
- Build and integrate agentic AI systems for telemetry, monitoring, and workflow automation
- Develop scalable APIs and data pipelines to support enterprise AI systems
- Utilize AWS services (Lambda, Pinpoint, etc.) for enterprise-scale AI applications
- Optimize backend queries, APIs, and workflows for system performance and stability
Other
- 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
- 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
