Applied AI ML Lead

Job Description

Required Skills

Responsibilities

• Lead programs and provide directions to successfully implement the large AI/ML initiatives
• Assist product leadership in defining the problem statements, execution roadmap
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior funders and stakeholders.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
• Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.