Top Python Jobs in Hampton Roads, VA

The Solutions Architect will engage with sales, product management, and solutions teams to provide technical expertise, develop client-specific proposals, and demonstrate Lifebit's platform capabilities. Responsibilities include technical customer support in bioinformatics/cloud infrastructure, solution lifecycle management, and capturing project insights for knowledge sharing.

As a Staff Backend Engineer with Data Science skills, you will develop and maintain backend services for fraud detection. Responsibilities include designing scalable systems, working with real-time data processing, analyzing large datasets, and collaborating with cross-functional teams to improve fraud detection solutions.

The Senior Software Engineer will manage the full development lifecycle of mobile applications using React Native and web clients in React, as well as Python APIs. Responsibilities include collaborating with cross-functional teams, enhancing user experience, improving processes, and participating in design discussions and code reviews.

As a Product Engineering Lead at Crescendo Health, you'll take ownership of product areas and codebase, focusing on both frontend and backend engineering. You'll lead technical decisions, improve patient outcomes, and contribute to team culture and processes in a remote setting.

As a Senior Software Engineer specializing in Data Streaming, you will design and maintain scalable real-time data processing systems. Responsibilities include optimizing deployment for high-volume data processing, building APIs and frameworks for advanced data products, ensuring data governance, and collaborating with cross-functional teams on innovative solutions.

As a Senior DevInfra Engineer, you will ensure the smooth operation of CI/CD pipelines, support deployment and monitoring of services, collaborate with teams for system reliability, and utilize automation to improve processes and performance across various programming environments.

As a Senior AI/ML Engineer, you will design, train, and deploy machine learning models, collaborate with cross-functional teams, and maintain machine learning pipelines. You will utilize tools such as PyTorch, Kubernetes, and Apache Spark, and will need a strong understanding of various machine learning subfields with a focus on NLP, CV, and Time Series.