Staff Applied Scientist

About the role

CPTO is looking for an Applied Scientist who is passionate about bridging the gap between AI research and large-scale production systems. In this role, you will not just apply off-the-shelf models; you will design, build, and iterate on novel algorithmic solutions to complex, ambiguous business problems.

What you'll do

• Research & Design: Formulate complex business problems into formal mathematical frameworks
• Design, experiment with, and evaluate advanced ML models, Deep Learning architectures, and statistical methods
• Own the end-to-end lifecycle of ML models, from data ingestion and training to deployment and post-launch monitoring
• Scale & Optimize: Optimize model performance, latency, and resource utilization for high-throughput, low-latency production systems (e.g., distributing training
• Mentor junior engineers and scientists, and foster a data-driven engineering

What you need

• 12–15 yrs of experience
• Machine learning
• Data structures
• Linux
• NoSQL
• Prometheus
• Git
• M.Tech or B.Tech or B.E. or B.Sc or BCA or MCA or M.Sc

Good to have

• Docker
• Kubernetes
• Deep learning
• LLMs
• Prototyping