Senior AI Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, architect, and construct robust and efficient AI/ML systems tailored for a production environment, with an emphasis on backend distributed systems and microservices, while ensuring system accuracy.

• Oversee cross-functional projects from inception to completion (including scoping, timelines, and dependencies), fostering alignment among Data, Infrastructure, and ML Engineering teams.

• Work closely with AI/ML engineers to refine workflows for model training, real-time inference, monitoring, and troubleshooting.

• Serve as a subject matter expert on ML infrastructure, offering guidance to internal teams and external partners.

• Ensure operational excellence and reliability of ML systems by defining and enforcing SLAs related to system performance, such as latency, throughput, and resource utilization.

• Create tools for effective model management, continuous monitoring, and to enhance the efficiency and efficacy of the entire ML lifecycle.

• Actively participate in mentoring and knowledge sharing to cultivate a culture of continuous learning and improvement within the team.

⛳️ Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, along with 5+ years of industry experience.

• Knowledge of architectural frameworks for large, distributed, and high-scale ML applications. Experience implementing applications using LLMs and GenAI is highly desirable.

• Strong understanding of MLOps, data structures, and software design principles.

• Proficiency in Python programming and familiarity with other languages such as Java or Go.

• Extensive knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture.

• Experience with database technologies (such as SQL and NoSQL) and big data processing frameworks (like Spark) is advantageous.

🏝️ Benefits

• A competitive compensation package aligned with top technology companies.

• A remote and accomplished global team.

• Opportunities for equity participation.

• Unlimited vacation with manager approval.

• 16 weeks of fully paid parental leave for delivering parents; 8 weeks of fully paid parental leave for non-delivering parents.

• 100% employer-sponsored healthcare, dental, and vision coverage for you, with 80% coverage for your family; options for Health Savings Accounts and Flexible Spending Accounts.

• 401k retirement savings plan.