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
Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services
Develop real-time online inferencing for highly complex models using Triton, TensorRT, and mixed precision computing
Mentor and develop other engineers on the team, establish technical direction, and foster team culture
Uphold the highest standards of technical rigor in engineering and operational excellence
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 including design, coding, code reviews, testing, build processes, deployments, and operations
5+ years of experience in Python with an in-depth knowledge of its advanced features and libraries
Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI
Proficient in Docker, Kubernetes, and modern CI/CD practices
3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud)
Experience as a mentor, tech lead, or leading an engineering team
MS or PhD in Computer Science or equivalent experience in ML
Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.)
Experience with NoSQL and document databases
Proven ability to handle big data, optimize workflows, and improve system performance