Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Provide technical leadership and guidance across ML systems engineering teams, contractors, and vendors.
- Develop, review, and improve secure production code, focusing on ML model serving platforms with GPU workloads and cloud native technologies.
- Lead adoption and governance of AI-assisted engineering practices to enhance code quality, delivery efficiency, and operational outcomes while influencing product design and technical operations.
Minimum Requirements
- 5+ years of professional software development experience with focus on ML systems and software engineering concepts.
- Strong proficiency in Python with experience in ML frameworks (TensorFlow, PyTorch), and Cloud Native Technologies including Kubernetes (EKS) and Docker.
- Hands-on experience deploying and managing GPU workloads in Kubernetes and working with ML model serving frameworks (TorchServe, TensorFlow Serving, Triton Inference Server).
- Experience with scalable, low-latency systems, modern microservices architecture, and NoSQL databases like Cassandra; Work Experience Required: 5+ years.
Ideal Candidate Profile
- Experienced in architecting and leading large-scale ML serving platforms involving deep learning model optimization and GPU resource management.
- Demonstrated success in driving enterprise-wide adoption of AI-assisted development tools with strong emphasis on secure, responsible AI usage and compliance.
- Background in integrating ML engineering solutions in complex environments, preferably with knowledge of financial services, payments systems, or fraud detection models.