AI ML Architect

September 30

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Automation Anywhere

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Robotic Process Automation • Automation Software • RPA • Intelligent Automation • Hyperautomation

1001 - 5000

Description

• Designing and architecting robust, scalable machine learning based solutions and models • Owning ML project lifecycle from concept to production deployment • Evolving existing machine learning architectures for optimal results • Evaluating and adapting to new technologies and frameworks that can optimize the company’s machine learning initiatives • Mentoring the machine learning and data science teams in complex projects, ensuring a high degree of quality

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline • Master’s or PhD in Computer Science, AI, or a related field preferred • 7+ years in Engineering, focusing on data used for Machine Learning • Experience with Generative AI a plus • Strong proficiency in Python, SQL, and familiar with frameworks like TensorFlow or PyTorch • Extensive background in building AI/ML solutions with natural language processing, computer vision, and multimodal models • A proven track record of deploying scalable machine learning models in production environments • Experience with MLOps and CI/CD pipelines • Experience with various Databases: SQL, NoSQL (Postgres, Redis, Elasticsearch, etc.) • Experience developing in container environments like Docker and Kubernetes • Expertise in multi-cloud environments including AWS, Google Cloud Platform, and Microsoft Azure preferred

Benefits

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