Product Management - Bengaluru, India - EdgeVerve

Description

EdgeVerve, a fully owned subsidiary of Infosys Limited, is a global leader in AI, Automation, and Analytics. Our technology empowers enterprises globally to bring life to their digital transformation initiatives.

We are not just building path-breaking products; we are building technology that will unlock hidden business value from your business processes, documents, and supply chain.

Our digital platforms help clients capitalize on the inherent power of a connected enterprise. We do this by amplifying the human potential, crafting connected customer journeys and exploiting the power of value networks.

Job Role- Product Management (AI/ML)Location- Bangaloreexperience- 7 to 12Years.

Drive AI first solution and bring out industry leading cutting-edge AI solutionsProvide an end-to-end AI based solution that excels in real client use-cases around Information ExtractionOwn the product definition, product requirements (PRD), product quality, Go-To-Market activitiesPast experience as Product Owner, business requirement gathering and analysisDrive stakeholder management and collaboration across customers, prospects, industry analysts and partners,Collaborate with cross functional teams (Product and Solution teams) and ensure that the AI solution is comprehensive as required by the use caseAbreast with latest trends in AI technologies and provide technical leadership to execute large-scale, complex search solutionsExperience in AI enabled / using products - NLP or Computer vision or ML or AI- Familiarity with various generative AI models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer models, is important to understand their strengths, limitations, and use cases.

Experience Required1.Experience in transformer models like BERT, ContractBERT2. Machine Learning, AI, Language models experience, or experience in AI builder products.- Limited experience in Data science and data engineering is a plus- Scaled agile product management principles