Subex - Technical Product Manager - AI/ML

Product Manager - IDCentral

Job Description:

Roles & Responsibilities:

- Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations.

- Understand, research, and follow technical trends in the industry and in general. Able to assess emerging products and companies to measure their potential value or threat.

- Provide internal and customer training on how to use the product.

- Assess and address technical risks.

- Understand and analyze data pipelines, algorithms, and automated systems.

- Serve as a product evangelist and SME to the technical/developer community.

- Proficient in conducting Product Analytics to measure product adoption and growth

- Coordinate beta and regression tests.

- Define success criteria for testing and product acceptance.

- Participate in architectural discussions/workshops with Business teams to arrive at the appropriate Integration Architecture & Design and maintain artifacts

- Assist in the development of Visual Designs and provide technical inputs to design element

Skills and Experience:

- Good understanding of Ai/ML algorithms and pipelines deployments to solve real world problems like clustering, classification, regression etc

- Good understanding of supervised learning, unsupervised learning, and reinforcement learning

- Have a good understanding of security, scalability, and infrastructure concepts?

- Good understanding of REST API concepts and API management in general

- Working knowledge of integration with REST API, JSON & XML transformations.

- Hands on experience with modern day cloud, multi-could & hybrid services

- Should have Broad data management skills around Big Data integration, No-SQLs, DB & S3 / Cloud storage options.

- Good understanding of data management, data governance, master data management

- Good understanding of Continuous Integration / Continuous deployment concepts

Hands on experience of ETL concepts - OLTP, OLAP and ROLAP

Strong understanding of Big Data Analytics platforms (Hadoop, Ambari, Nifi etc ) and ETL in the context of Big Data. Extensive experience in Data design include ETL and Data Modelling.