Top Python Jobs in Seattle, WA
The Applied AI Finetuning Engineer will develop tailored LLM solutions for clients, collaborating with various teams to integrate AI into their products, execute finetuning projects, and serve as a technical advisor on best practices for deployment.
As a Network Systems Engineer in the Sales Engineering team at Arista, you'll serve as a trusted advisor to clients, conduct architectural reviews, deliver product presentations, and design scalable network solutions. You'll collaborate with Account Managers and lead hands-on testing for proof-of-concept setups to ensure deployment success and enhanced network performance.
As a Solution Architect/AI Engineer V, you will lead the design and implementation of AI solutions, develop data pipelines, ensure best practices in AI/ML methodologies, and provide thought leadership internally and externally, driving innovation in the AI/ML space.
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The Full Stack Engineer will enhance an internal framework through automation and API integration, collaborating with a distributed team. Responsibilities include developing in Python and JavaScript, managing databases with SQL, and deployment in Linux environments.
As a DevOps Engineer at Nexxen, you will collaborate with development teams to manage a large-scale data center and cloud infrastructure, automate software releases, monitor systems, and enhance operational efficiency with emerging cloud technologies. You'll be involved in incident management and provide support for data pathways while ensuring system resilience and performance.
As a Backend Software Engineer at Truveta, you'll build secure and scalable software solutions for processing health data while preserving privacy. You will work within an agile team, focusing on developing distributed systems and APIs, managing projects from inception to delivery, and adhering to ethical innovation principles.
As a Senior DevOps Engineer, you'll migrate transportation functionality, develop micro-services with Spring Boot over Java, and contribute to a Kubernetes runtime. Responsibilities include code production, bug triage, performance analysis, and mentoring junior developers in a collaborative agile environment.
As a Senior Software Engineer at Snowflake, you will design and lead impactful projects, contribute to reliable and scalable infrastructure, develop software for service expansion, participate in on-call rotations, and address production issues. Your role emphasizes collaboration across teams to enhance the Traffic & Edge infrastructure supporting thousands of customer queries.
The Senior Backend Software Engineer will design and develop scalable monetization products and backend services, optimizing monetization efficiency with machine learning technologies, ensuring quality user experiences, and collaborating with key stakeholders.
The Principal Data Architect will lead backend development, focusing on microservices, RESTful APIs, and ETL processes, leveraging cloud platforms like AWS. The role includes designing scalable data architectures, establishing data governance, and optimizing data processing for AI/ML applications. Candidates must have deep expertise in backend engineering and data management.
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