Drive performance of, Analytics and AI/ML solutions to impact overall business results while keeping costs in check
Define the business questions that need be answered and define appropriate Analytics and AIML models / solutions in addition to identifying and readying relevant data sources for analysis
Collaborate and act as a technology evangelist and thought leader across the organization ensuring the delivery of desired operational and competitive results
Leverage AI/ML capability to drive data driven decisions, intelligent automation of processes/functions and making it a differentiator for STL
Lead the AI/ML vertical COE
Develop strategic roadmap for STL to grow AI as a competitive advantage for top and bottom line impact
Conceptualise, build and deploy external solutions leveraging AI
Team leadership and technical mentoring of internal team
What we are looking for:
Subject Matter Expert in AI/ML technology
Expert in Machine learning techniques including Regression, Random Forest, Time Series, Gradient Boosting, SVM, and Naive Bayes etc.
Should be expert in Flask Framework for deployment on Google Compute Engine and App Engine
Knowledge & experience of Deep learning models, TensorFlow, Computer Vision.
Should have a deep understanding of Statistical Concepts of Distributions, Hypothesis testing, ANNOVA etc.
Demonstrate and communicate a high level of ownership and commitment to achieving results
Ability to relate to business, giving shape to ambiguity and stakeholder management
Experience & Education:
12+ years experience in Data Analytics, Analytical models using Machine Learning and understanding of Data Engineering.
Proficiency with solving business problems using data.
Build solutions for data drive organization.
Hands on experience on machine learning models
Prior experience working in AI, & Analytics
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Masters or bachelor's degree in Computer Science or a related discipline