Top Python Jobs in Dallas, TX

Seeking a Software Engineering Team Lead to lead a small team of engineers in developing connected equipment solutions. Responsibilities include providing technical mentorship, writing bug-free code, designing scalable components, building API's and web applications, and more. Qualifications include 10+ years of experience, proficiency in React.js, Java, C#, Python, and familiarity with computer science fundamentals.

Develop and improve trading strategies for cryptocurrency markets, collaborating with traders, overseeing system performance, and enhancing automated trading systems. Engage in the entire development process including data analysis, software writing, and support.

As a Staff Software Engineer - Full Stack, you will design and develop front-end and back-end applications, create APIs, and ensure great user experience while collaborating with cross-functional teams to improve healthcare through predictive analytics.

The Principal Engineer for the ML Training Platform will lead a team to enhance the ML training and evaluation process. Responsibilities include designing and maintaining scalable ML data processing solutions in AWS using Kubernetes, optimizing model performance with GPUs, and collaborating with various teams to ensure the effective execution of technical initiatives.

The Senior Cloud Platform Engineer will design and develop platform architecture for Quanata's cloud infrastructure, implement automation and deployment processes, and collaborate with developers to optimize applications. Responsibilities include monitoring system performance, troubleshooting issues, ensuring compliance and security, and contributing to developer training.

As a Software Engineer focused on ML at Tavus, you will develop new features using computer vision and NLP models, take ownership of ML Ops tasks, and design experiments to enhance AI models while improving existing technical frameworks.

As a Founding Software Engineer at Glass Health, you will design and build development platforms for new products, create user-facing AI features, work with cross-functional teams, and ensure system reliability while fostering a diverse and inclusive culture.