Expert Level Machine Learning Lead

About the Role

As a Senior Python/PyTorch ML Engineer, you will be responsible for leading the development of production AI/ML models and architecting MLOps/AIOps standardization across 100+ use cases. This strategic role requires establishing QA frameworks for ML systems, driving the Python/PyTorch standardization initiative across disparate use cases, and ensuring production-ready model deployment for critical systems including chatbots, AML detection, predictive models (PRISM platform), and pricing optimization while maintaining quality, accuracy, and risk mitigation in a regulated environment.

We are looking for an expert-level PyTorch engineer to lead our team in developing complex PyTorch implementations for LLMs, deep learning models, and advanced AI solutions.

Key Responsibilities: Lead development of production PyTorch models Achieve MLOps/AIOps standardization consistency Create enterprise ETL pipelines using Spark/Databricks/cloud-native services

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​This is not an exhaustive list as this position includes other responsibilities that require strong technical leadership skills. ,

Senior Position with multiple teams available

Cross-functional collaboration with DevOps Engineers on CI/CD Pipelines

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