Top Senior Level Python Jobs in Kansas City, MO

The Senior Data Scientist will lead machine learning and AI projects, designing and deploying NLP models, conducting advanced data analysis, collaborating with teams, and communicating insights to stakeholders while staying updated with the latest technological advancements.

In this role, you will use your unique combination of data engineering and backend software development expertise to solve business problems. You will build data heavy applications that directly provide value to our customers, internal and external.

As a Senior Engineer in Quality Assurance and Testing, you will design and implement test plans, develop automated testing frameworks, and enforce best practices while mentoring team members. Collaborate with stakeholders to enhance software quality, ensure security compliance, and maintain documentation throughout the software development lifecycle.

The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.

As a Senior Full Stack Developer, you will work on both frontend and backend technologies, develop scalable web applications, and improve user experiences. You will engage in tech discussions, assist teammates, and interact with clients to ensure project goals are met, while adhering to best practices in code quality and accessibility.

Lead a team of developers in designing and implementing large language models for Cerence's software products. Collaborate with cross-functional teams to define requirements, create algorithms for model training, and integrate LLM features into voice recognition systems, ensuring high performance and reliability in real-world automotive environments.