Staff Machine Learning Engineer

Automation Anywhere is seeking a Staff Machine Learning Engineer to help power the next generation of AI-driven digital agents transforming enterprise operations.

Requirements

• Develop and optimize machine learning models leveraging NLP, Computer Vision, and GenAI
• Architect and implement scalable ML pipelines for training, validation, deployment, and monitoring of production models
• Drive the development of large-scale ML infrastructure, ensuring low-latency inference and efficient resource utilization across cloud and hybrid environments
• Implement MLOps best practices, automating model training, validation, deployment, and performance monitoring
• Work closely with data engineers, software engineers, and product teams to ensure seamless integration of ML solutions into production systems
• Optimize ML models for performance, scalability, and efficiency, leveraging techniques like quantization, pruning, and distributed training
• Enhance model reliability by implementing automated monitoring, CI/CD pipelines, and versioning strategies
• Lead efforts in data acquisition and preprocessing, including annotation and refinement of datasets to improve model accuracy
• Stay updated with state-of-the-art ML research, identifying opportunities to integrate new techniques and technologies into production systems

Benefits

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Eligible for 4 company Achievement days off per year
• Variety of health care and well-being benefits
• Paid family/parental leave