Top Python Jobs

As a Customer Risk Developer at Coinbase, you will build and enhance KYC Customer Risk Scoring models, develop Compliance systems, investigate issues, fix bugs, and produce reports and dashboards. You'll collaborate cross-functionally, document processes for regulators, and work under tight deadlines to deliver reliable technology solutions.

The LLM Developer will design, code, test, and implement machine learning systems focused on data intelligence, collaborating with various teams to analyze requirements and manage product deliverables. Required skills include experience with large language models and AI/ML platforms, along with a strong background in machine learning and data science.

The Azure AI Architect will develop and implement web-based user interfaces for chat experiences, collaborate with backend teams to integrate RESTful APIs, and utilize Azure services for optimum performance. The role includes web testing, maintaining the codebase, and working with containers for deployment.

The Lead DevOps Engineer will ensure the smooth operation of APIs and analytics platforms with zero downtime, troubleshoot issues, establish monitoring systems, create automations, and aid in software engineering tasks, collaborating with developers and external community members.

As a Technical Lead/Manager at VIVIO Health, you will architect and develop data-driven software solutions while leading a distributed engineering team. Your role involves maintaining high-quality coding standards, managing the application lifecycle, and collaborating with various departments to align technology with business goals.

As a Solutions Architect at Snowflake, you will lead complex migrations from legacy systems to the Snowflake platform. You’ll design migration strategies, work closely with customers to ensure successful transitions, and collaborate with various teams to enhance Snowflake's offerings. You’ll also present technical solutions to both technical and executive stakeholders.

As a Solutions Architect, you'll deploy cloud products for clients, guide them in application development on Snowflake, and collaborate with various teams to improve products and services. You will be hands-on in addressing technical challenges while ensuring knowledge transfer to customers.

The Solutions Architect - AI/ML at Snowflake will design and implement data science solutions leveraging Snowflake's features and partner tools. This role includes advising clients on best practices, building ML pipelines, and collaborating with various teams to enhance product offerings. Hands-on experience with languages like SQL, Python, Java, and Scala is essential, along with a deep understanding of the data science lifecycle and MLOps.