Join our process automation team as an AI/ML Engineer. You'll design and deploy machine learning models to power intelligent automation solutions for enterprise clients.
Responsibilities
Build and train ML models for document processing, NLP, and prediction tasks
Deploy models using cloud ML services (AWS SageMaker, Azure ML)
Create data pipelines for model training and inference
Collaborate with RPA team to integrate AI into automation workflows
Monitor model performance and retrain as needed
Stay current with AI/ML research and best practices
Requirements
2-5 years of ML engineering experience
Strong Python skills with TensorFlow, PyTorch, or scikit-learn
Experience with NLP, computer vision, or time series analysis
Knowledge of cloud ML platforms (SageMaker, Azure ML)
Understanding of MLOps and model deployment pipelines