Principal, Software Engineer

About the role

The platform seamlessly integrates with existing environments and workflows, leveraging AI-driven insights to detect, predict, and resolve issues in real time.

What you'll do

• Design, develop, and deploy scalable AI/ML agents for anomaly detection, forecasting, and root-cause analysis
• Build and optimize real-time inference APIs and services integrating ML pipelines into production
• Develop data pipelines for large-scale telemetry, logs, metrics, and traces using event-driven architectures
• Automate model training, evaluation, and deployment pipelines (MLOps)
• Continuously monitor model performance and optimize for accuracy, latency, and cost

What you need

• 10–15 yrs of experience
• SQL
• Data structures
• System design
• REST APIs
• Python
• Kafka
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• TensorFlow
• PyTorch
• Scikit-learn
• Go
• Microservices
• MLOps