Principal Architect - AI/ML

Job Summary

We are seeking an experienced Principal Architect - AI/ML to lead the design, implementation, and governance of end-to-end AI/ML solutions across our GenAI powered low-code/AI automation platform. The ideal candidate has a proven track record of building, deploying, and managing scalable AI/ML systems - from data ingestion and feature engineering to model deployment, monitoring, and optimization in production environments.

Responsibilities

• Architect end to end AI/ML solutions from business problem identification through production deployment.
• Drive data exploration, feature engineering, model selection, tuning and validation.
• Productionize ML models through APIs, batch pipelines and real-time inference services.
• Establish and strengthen MLOps practices including model versioning, experiment tracking, model registry, CI/CD, monitoring, drift detection and retraining.
• Design scalable, maintainable ML architectures for enterprise deployments.
• Review ML designs, code and technical approaches.
• Mentor and technically guide AI/ML Engineers and Data Scientists.
• Partner with Product Management to translate business requirements into practical AI/ML capabilities.
• Stay hands-on with prototyping, coding, troubleshooting and technical problem solving.

What will you bring to the team

• 12+ years of experience across software/data engineering and AI/ML, with strong hands-on ML delivery experience.
• Strong expertise in Python, Machine Learning and Statistics.
• Experience with Deep Learning, PyTorch / TensorFlow.
• Strong hands-on experience with scikit-learn, Pandas, NumPy, XGBoost / LightGBM or similar.
• Proven experience building and deploying production ML models.
• Strong understanding of MLOps, model lifecycle management, monitoring and drift detection.
• Experience with REST APIs / model-serving architectures, SQL and enterprise datasets.
• Hands-on experience with Docker and software engineering practices.
• Ability to architect scalable, production-grade ML systems.
• Strong code and design review capabilities.

Good To Have

• Computer Vision | OCR / Document AI | NLP | Time-Series Forecasting | Recommendation Systems | Spark | MLflow | Kubeflow | Kubernetes

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.