Paycom is seeking to enhance their products and improve client experience by building practical and innovative AI solutions
Requirements
- Hands-on software engineering experience working with AI/ML systems or data-driven applications
- Experience developing software utilizing various languages, including Python, SQL and/or the ability to pick up new languages quickly
- Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling
- Experience designing and deploying ML models to production and optimizing MLOps practices
- Experience with the full lifecycle of software and AI/ML development, including version control, build management, unit testing, CI/CD, API paradigms and model versioning
- Experience in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes
- Depth in using LLMs, including training, fine-tuning, and evaluation
Responsibilities
- Develop, maintain, and improve AI/ML codebases, services and APIs with a focus on reliability and scalability
- Implement and support AI/ML pipelines for deployment, monitoring and lifecycle management
- Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products
- Write, clean, testable, and well-documented code to help the team build AI-integrated solutions with confidence
- Define architectural changes that can be implemented incrementally, while minimizing risk
- Define and evolve model governance, monitoring, drift detection and re-training workflows
- Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards
Other
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
- Strong collaboration, communication, and problem-solving skills in cross-functional environments
- Ability to stand; walk; sit; use hands and fingers to handle, type, or feel; reach with hands and arms; and talk or hear
- Ability to lift and/or move up to 25 pounds
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field (preferred)
