Job
Description
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 Lead and mentor team of data engineers, MLOps engineers, and machine learning engineers, to achieve project objectives & deliverables (development and deployment of ML models for AI use cases across the platform) Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements Primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives Guide team of AI ML engineers with respect to business objectives and connecting the dots, helping to team to come up with optimal ML models based on use cases Manage day to day operation and ensure adherence to process, scope, quality and timelines Incumbent to assume role of an engagement coordinator between Thryve India team and US counterparts (techno functional) Highlight risks and concerns to leadership team, work with multiple stakeholders to establish alignment, contingency and or mitigation plans as required Experienced and proactive in tracking delivery statuses, project progress and take ownership of all deliverables from Thryve Effective communicator with team members, US stakeholders and management Stay up-to-date with the latest trends andadvancements in AI and ML and identify opportunities for the team to implementnew models and technologies Other duties as assigned or requested approximately 50% technical and 50% management 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
