Senior Machine Learning Engineer
Core
Lead development and deployment of cutting-edge AI systems for diverse clients in government, finance, retail, energy, life sciences, and defence.
Role type
Senior Machine Learning Engineer (Applied AI)
Builds
Scalable, production-grade ML software, tools, and infrastructure
Domain
Applied AI for Professional and Financial Services
Deliverable
production ML models
Required skills
Full ML lifecycle expertise, TensorFlow/PyTorch, Python, Cloud platforms (AWS/Azure/GCP), Container orchestration (Docker/Kubernetes)
Preferred skills
Technical leadership, Client-facing advisory, Mentoring
Technologies
TensorFlow, PyTorch, Python, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Lead technical scoping and architectural decisions for high-impact ML systems; Design and build production-grade ML software and scalable infrastructure; Define and implement best practices for deploying ML at scale; Collaborate with cross-functional teams to solve client challenges; Act as a trusted technical advisor to customers; Mentor junior engineers
Seniority
Senior, hands-on IC with leadership responsibilities
