Vice President-Applied AI/ML Lead

Responsibilities

• This role offers the opportunity to shape the future of document management through cutting-edge AI and machine learning
• As a Senior Software Engineer, you will have the chance to design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed
• Lead the development and integration of AI-powered document management solutions
• Employ advanced natural language processing, generative AI, and large language models to automate and optimize document workflows
• Collaborate with business systems to ensure seamless integration and data flow
• Analyze large, complex datasets to extract actionable insights and inform business decisions
• Design, implement, and deploy machine learning models and algorithms to enhance document processing and prediction capabilities
• Oversee the full MLOps lifecycle, including model design, experimentation, deployment, monitoring, and maintenance in production environments
• Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing
• Work closely with cross-functional teams to translate business needs into technical solutions

Full Description

Senior Software Engineer Role Description:

This role offers the opportunity to shape the future of document management through cutting-edge AI and machine learning. As a Senior Software Engineer, you will have the chance to design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed.

• Lead the development and integrationof AI-powered document management solutions.

• Employ advanced natural language processing, generative AI, and large language models to automate and optimize document workflows.

• Collaborate with business systems to ensure seamless integration and data flow.

• Analyze large, complex datasets to extract actionable insights and inform business decisions.

Job Responsibilities:

• Design, implement, and deploy machine learning models and algorithms to enhance document processing and prediction capabilities.

• Oversee the full MLOps lifecycle, including model design, experimentation, deployment, monitoring, and maintenance in production environments.

• Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.

• Work closely with cross-functional teams to translate business needs into technical solutions.