About this opportunity
Cotiviti lists this Senior Software Engineer - AI ML opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
As a Senior Software Engineer on the AI Engineering Team at Cotiviti, you will contribute to the development and delivery of AI/ML solutions for healthcare applications. This experienced professional position develops, tests, and implements scalable solutions, collaborates with data scientists and engineers, and provides knowledge sharing and support to team members.
Responsibilities
Develop and implement machine learning solutions for healthcare applications.
May provide knowledge sharing and support to team members.
Collaborate with data scientists and other engineers to design and build scalable solutions.
Write, test, and maintain high-quality code along with Code coverage.
Participate in design and code review sessions.
Troubleshoot and resolve complex technical issues.
Document your work and share knowledge with the team.
Apply established development standards and best practices.
May assist with onboarding or knowledge transfer activities.
Complete all responsibilities as outlined in the annual performance review and/or goal setting.
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Math, or a related field, or equivalent experience.
5+ years’ experience of developing AI/ML solutions.
Strong programming skills in Python, and machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Working knowledge of data mining and statistical analysis/predictive analytics.
Ability to solve problems with analytical thinking and the ability to conceptualize, design, and build models from scratch.
Hands‑on experience in defining and designing the models for predictive analytics based on business requirements.
Deep understanding of data architecture principles, have good experience with different data sources and databases like Oracle, and MS SQL Server.
Hands‑on experience building CI/CD pipelines for production deployment of models. Hands‑on experience with ML Ops is an added advantage.
Experience with cloud‑based ML/data services (AWS, Azure, or GCP).
Experience working with generative AI/LLM frameworks and tools (e.g., LangChain, Hugging Face, vector databases, RAG pipelines, LLM APIs).
Understanding in Agile, SDLC.
Strong analytical and problem‑solving skills.
Familiarity with Agile processes and tools like Jira and Confluence.
Strong drive to learn and advocate for development best practices, must be a team player with the ability to manage multiple tasks in a deadline driven environment.
Knowledge in the Healthcare Insurance sector is an added advantage.
Cognitive/Mental Requirements
Curious: You are always looking to deepen your understanding of complex problems.
Creative: You enjoy coming up with innovative solutions to difficult challenges.
Practical: You focus on delivering solutions that have real-world applications and value.
Focused: You maintain a clear vision of your goals and work diligently to achieve them.
Determined: You are committed to contributing to the development of advanced machine learning capabilities.
Physical Requirements and Working Conditions
Must be available during normal business hours.
Must be flexible to extend beyond the normal business hours based on project need.
Must be able to provide high‑speed internet access / connectivity and office setup and maintenance.
Repeating motions that may include the wrists, hands, and/or fingers.
Must be able to provide a dedicated, secure work area.
No adverse environmental conditions are expected.
Base compensation ranges from $132,000 to $155,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
This role is based remotely and all interviews will be conducted virtually.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.