AI Specialist I

Role : AI Specialist (Band-Manager)

Exp: 5 to 6 yrs

Education: Masters preferred 

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

Desired qualification and experience 

 Education:  

PHD/ Master’s degree in Quantitative fields like mathematics, computer science, engineering, statistics, economics from premiere institutes 

Experience:  

Minimum of 5-7years of related work experience in analytical roles. 

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