Staff Machine Learning Engineer

Automation Anywhere is seeking a Staff Machine Learning Engineer to develop and optimize machine learning models, architect scalable ML pipelines, and drive the development of large-scale ML infrastructure.

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

• Generous Paid Time Off
• 401k Matching
• Retirement Plan