Sr. AI Platform Engineer

About this role

Are you ready to be at the forefront of integrating machine learning with healthcare technology? We are seeking a dynamic and innovative ML Ops Engineer. The ideal candidate is self-driven, versatile in handling multiple projects, and a collaborative team player. You will be instrumental in developing our cutting-edge machine learning platform and enhancing our existing healthcare solutions. We value individuals who are adept at working with complex systems and possess exceptional communication and leadership skills.

Responsibilities

• :Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy
• .Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering
• .Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshootin
• gBe a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders
• .Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization
• .Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle
• .Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team

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Qualification

• s:Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experien
• ceFamiliarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM’s and GenAI is a huge plu
• s.Solid understanding of MLOps, data structures, and software design principle
• s.Profic...