Identifying and defining new process improvement and or business opportunities.
Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems
Implement cutting edge machine learning techniques in NLP , image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.
Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts using AI/Client concept.
Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users
Be hands-on where required and lead from the front in following best practices in development and CI/CD methods
Develop tools and libraries that will enable rapid and scalable development in the future

Skills successful candidate have:

Solid understanding of various machine learning and deep learning algorithms (including state of the art techniques and advancements like Bert, Transformer architecture)
Well aware of latest advancements in the areas of text analytics and NLP
Good understanding of Transfer Learning concepts in Deep Learning
Hands-on Python coding, webservices development and deployment
Good understanding of pre-processing and feature engineering
Defining data augmentation strategies
Training models and tuning their hyperparameters
Experience in working and deploying models to different clouds Google, Azure, and AWS
Expert in analyzing the errors of the model and designing strategies to overcome them

Data scientist

Job Description