Top Remote Senior Level Python Jobs

Lead the design, implementation, and optimization of computer vision algorithms, develop deep learning models, collaborate with teams, mentor junior engineers, drive machine learning lifecycle, troubleshoot and optimize AI systems, document research findings.

The IT Support Engineer - QA Analyst role involves ensuring software quality through testing, validating new product features, and troubleshooting issues. You will create test plans, document quality reports, collaborate with development teams, and recommend improvements in testing methodologies. Your expertise in IT operations and quality assurance will play a vital role in delivering impeccable software products.

The Senior Growth Engineer will be responsible for building production-grade backend services and APIs, owning projects from inception to deployment, and collaborating with a team to enhance the user experience of Monte Carlo's Data Observability platform.

As a Sr. Software Engineer, you'll design and build a cloud-native platform with microservices, develop features, optimize performance, and mentor junior engineers. You will collaborate on frameworks, review code, and explore new technologies.

The Solutions Architect will plan, design, and implement technology solutions to enhance process efficiency within the Security Intelligence organization. This role involves collaborating with IT leaders to optimize risk identification and remediation, oversee project progress, and drive architecture design. The architect will also formulate a technology strategy while influencing partners to build innovative solutions focusing on security and operational risk management.

As a Staff Backend Engineer, you will develop web services focusing on digital life insurance enrollment solutions, collaborating with cross-function teams and managing modular services in Python and Java. You'll ensure quality code, maintainability, and proactive problem-solving.

As a Senior Software Engineer at Doximity, you will improve data systems, lead projects from inception to delivery, and collaborate with cross-functional teams to develop pipelines and methodologies for data extraction and analysis.