Job Location: Bengaluru, Karnataka, India
AI Engineer – Lead
This position is for engineers who have a strong interest in artificial intelligence, cognitive computing, machine learning and related technologies. Engineers will have a great opportunity to be involved in companywide strategic platform development and AI application development projects.
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 the right AI or cognitive computing technologies to solve problems and involving in the formulation and execution of technologies recipes for commercial deployment.
- Understand the business problem, challenges 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 the 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 scalably 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 a 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.
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