AI Specialist ( 6 - 12 years )

AI Specialist ( 6 - 12 years ) Education: BE/ B.Tech or ME / M. Tech Work Location: Gurugram Mode: 5 days work from office

Job Summary As part of ‘AI Works’ team, responsible for developing and deploying AI/ML based solutions core business processes and systems.

Key Competencies/Skills Required · Hands on experience in development and deployment of ML/DL/NLP based solutions (primarily with Python) · Applied knowledge of machine learning, Deep Learning technologies · Experience in working with various open source tools and technologies such as Python, R, Spark etc. ML / DL frameworks like tensor flow, keras, AutoML, pytorch etc. · Knowledge and Experience in working with

cloud stack – AWS

for enabling on cloud solution deployment · Strong project management skills with exposure to agile project delivery practices · Strong communication skills to collaborate with business and technology teams · Ability to work with a lean team internally, with self-starter and entrepreneurial attitude · Enthusiastic self-learner with builder mindset

Key Responsibilities

· Understand business processes, collect and integrate data from various data sources to be used for building AI/ML solutions · Laison and collaborate with different business stakeholders and back end engineering teams to develop, test and deploy AI based solutions · Perform data analysis, data discovery to find meaningful and actionable business insights and discuss such data driven stories with business teams · Work with both structured and unstructured data to develop solutions leveraging all kinds of AI techniques (primarily leveraging python) · Work with technology and deployment teams to enable on cloud solution deployment and integration across various Max Life core business systems · Work towards standardizing back end AI/ML solution pipelines leveraging MLOps · Work with AI team members to solve technical problems and guide them through solution building · Assist the project leader towards project management of AI/ML projects to ensure on-time and high quality delivery through day to day monitoring of progress · Create frameworks and tools to monitor solution performance, suggest measures for improvement and possible enhancements from time to time