Key Responsibilities

• Developing machine learning and artificial intelligence-based solutions for our industrial automation digital organization team.
• Utilizing the latest developments in industrial digitalization, connected devices and systems.
• Creating scalable models and algorithms for integrating into proprietary tools and products.
• Analyzing the data, understanding of characteristics, evaluating alternate models, validating hypothesis through theoretical and empirical approaches.
• Creating statistical and predictive models for equipment monitoring, failure detection, life estimation and life extension.
• Building tools and support structures needed for analyzing data, perform data cleansing, feature selection and feature engineering and organizing experiments in conjunction with best practices.
• Creating and deliver proof of solutions utilizing latest technology and tools.
• Designing and developing statistical models and applications fitting to business requirement.
• Living KnoDTec’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your Background

• M.Tech/M.E from a reputed University in Chemical or Mechanical or Aerospace or Civil.
• Required 2 to 7 years of proven experience in Industrial analytics with Machine Learning, Statistics, Deep Learning, recommendation system (Prescriptive analytics), Neural Networks and NLP.
• Should have strong understanding of statistical modeling and its applications to solve business requirements.
• Should have conceptual understanding of various modeling techniques and pros & cons for the approaches.
• Should have hands on experience with R/Python,Tensorflow and Big data machine learning platforms.
• Should understand data structures, data modeling and software architecture.