Description:

Be a thought leader and forward thinker to drive an innovative vision for various products and platforms
Design and launch strategic machine learning (ML) solutions and drive business-wide innovation
Lead the end-to-end software development lifecycle, including design, testing, deployment, and operations
Participate in technical discussions, strategy, design reviews, code reviews, and implementation
Develop high-performance, high-scale microservices architectures, including synchronous and asynchronous web services
Create real-time online inferencing for complex models using Triton, TensorRT, and mixed precision computing
Mentor and develop other engineers, establish technical direction, and foster team culture
Build highly resilient and scalable systems, champion operational and process improvements

Requirements:

Degree in mathematics/computer science or related discipline
5+ years of experience in the complete software development lifecycle
Proficiency in Python with in-depth knowledge of its advanced features and libraries
Expertise in designing RESTful APIs, with hands-on experience in technologies like FastAPI
Familiarity with Docker, Kubernetes, and modern CI/CD practices
3+ years of experience in leading the design and architecture of large distributed systems on cloud platforms
Experience as a mentor, tech lead, or leading an engineering team
Preferred: MS or PhD in Computer Science or equivalent experience in ML
Preferred: Experience with ML technologies like PyTorch, Sagemaker, Triton, TensorRT, etc.
Preferred: Familiarity with NoSQL and document databases
Preferred: Ability to handle big data, optimize workflows, and improve system performance