What are the responsibilities and job description for the Lead AI Engineer- 5+ yrs- New York, New York- Onsite position at iMedhas Consulting Services?
As an AI Lead Software Engineer, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a strong background in data science and a proven track record in the industry.ResponsibilitiesDesign and develop AI applications and infrastructure for the Contact Center platform.Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.Stay current with the latest AI trends and technologies, especially Google Google Cloud Platform or Azure AI for Contact CenterCreate and maintain AI models and algorithms.Conduct AI research to improve existing systems and develop new technologies.Identify opportunities for AI solutions within the organization and propose strategic plans.Train team members and stakeholders on AI and its applications.Ensure compliance with data privacy regulations in AI applications.Monitor the performance of AI systems and make necessary adjustments.Required Skills4 year bachelor’s degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science.Proven experience as an AI Lead Software Engineer or similar role in the industry.Strong knowledge of AI technologies, specifically Google Google Cloud Platform or Azure AI.Understanding of data structures, data modeling, and software architecture.Ability to work collaboratively with a diverse team of engineers and developers.Strong communication and project management skills.