Automation Anywhere - Enterprise Artificial Intelligence / Machine Learning Engineer

Job Description

Key Responsibilities :

• 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.

Educational Qualifications :

Nice to Have :

(ref : hirist.tech)