AI Engineer

Location-Bangalore

Experience-2-5 years

Responsibilities

• 2-5 years of professional experience in areas related to computer vision, machine learning, and/or image processing.
• Responsible for understanding the business problems, identifying/applying right AI or cognitive computing technologies to solve problems and involving in formulation and execution of technologies recipes for commercial deployment.
• Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
• Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
• Involve in development of AI Platform and AI enablement of the projects.
• Design and build Machine Learning, Deep Learning,Computer Vision and NLP infrastructure, models and applications to generate scalable and high-performance
• Prediction, Evaluation, Recommendation, anomaly detection, bots, sentiment insights and ontologies from structured/unstructured Big Data and domain rules
• Determine the best AI technique for a particular customer problem in any industry domain and apply, learn, and adapt.
• Good verbal and oral communication skills
• Proficiency in using OpenCV, or similar Image Processing/Computer Vision libraries.
• Research on various Numerics related to Machine Learning, optimizing it based on Design and performance constraints is a plus
• Ability to work in a fast paced, high pressure startup environment and adapt to rapidly changing requirements.
• Support the team in performing various tasks in executing our vision for NLP-based technology products using various NLP toolkits like Spacy, CoreNLP, OpenNLP, HuggingFace, Med7 and so on
• Deep understanding of application and mathematics behind models like Transformers, BeRT, GPT etc.
• Hands on experience in TensorFlow / Pytorch and Scikit Learn with solid understanding of the Deep learning and Machine Learning concepts
• Knowledge and experience in developing and implementing Image Processing, object classification, gesture recognition or human pose estimation and training deep neural networks, Computer Vision, and Pattern Recognition algorithms.
• Integration of functional and performance models of Products or Services
• Strong Mathematical background and understanding of the algorithmic concepts.