Role Summary:
This job involvesmanaging the day to day delivery of AI ML team, which will be responsible forbuilding, deploying and maintaining robust, scalable, and efficient ML models
EssentialResponsibilities
Stay up-to-date with the latest trends andadvancements in AI and ML and identify opportunities for the team to implementnew models and technologies
Proposeand implement best engineering and research practices for scaling ML-poweredfeatures, with a goal to enable fast iteration of and efficient experimentationwith novel features
Theexperience we are looking to add to our team
Required
Bachelor's degree in engineering or computerScience or related field
12 to 15 years of total experience with atleast 1+ year experience in leading / managing AI - ML projects achieving clear& measurable business objectives
Good understanding of US Health insurance withat least 3+ years experience in the same
Good experience / understanding of the entire MLOps from data ingestion to production
Good understanding of AI-ML concepts &algorithms,including supervised, unsupervised, and reinforcement learning, as well as MLOps
Ability to take successful, complex ideas fromexperimentation to production
Knowledge / experience in Google cloud [GCP]or any public cloud platforms
Excellent communication, presentation, andinterpersonal skills
Proven experience in leading, motivating &inspiring teams to foster collaboration
Proficient in identifying, assessing andcalling out risks and mitigation plans to stakeholders
Experience in implementing processimprovements and learning from past projects to enhance future performance
Able to analyze external and internalprocesses, and creating strategies for service delivery optimization
Experience in working with diverse teams andstakeholders, understanding their needs and managing expectations
Keyskills: AI/ML Technical Management MLOps ML models US Health insurance Google cloud