Computer Vision Engineer

Key Skills

Algorithms, Cloud computing, Computer Vision (CV), CUDA/GPU programming, Data science techniques, Image processing, Keras software library, matplotlib, NumPy, OpenCV, Python Programming, PyTorch, Scikit-learn, seaborn, TensorFlow

Job Description

BYJU’S UK is a recently established subsidiary of BYJU’S (Think & Learn Pvt Ltd), the world’s largest Ed-Tech company with its headquarters in India and products and offices across Asia, North and South America. BYJU’S UK primarily aims at developing cutting-edge digital technologies and products that support BYJU’S offerings across the world. The stakeholders include highly qualified personnel in the domain of science, technology, innovation and management. Valued at $ 23 billion, it has close to 50,000 employees worldwide.

What are we offering you?

• The experience of being part of the world’s biggest Ed-tech company in terms of scale of operations and headcount.
• Academic research environment
• Opportunity to do impactful work at scale.
• You would join a small, dedicated and fast-growing team.
• A world-class peer learning experience with individualised mentorship.
• Value-based workplace
• Flexible working hours and ability to work from home part of the time
• Competitive compensation package including comprehensive medical insurance and performance-based bonus

As a Computer Vision Engineer, you are expected to:

• Develop Deep Learning architectures to solve problems.
• Design and create platforms for processing and visualization.
• Research, develop, evaluate and optimize various computer vision and deep learning models for different problems.
• Develop analysis algorithms. Explore and analyse unstructured data like images through image processing.

As a Computer Vision Engineer, you will be presented with an opportunity to work on:

• Estimating Students’ Engagement in Classes - Developing an approach to track students’ engagement in online classrooms. Through this, we would be able to detect periods where students are displaying low engagement, as these correlate with low learning and understanding of concepts. By detecting these instances, we can refine and improve the personalised experience we deliver to our students. We are building this for both online and offline classrooms.
• Multimodal systems - In order to learn deeper and actionable knowledge from data, we work towards developing approaches to learning from multiple data modalities, e.g., video frames, audio, and language.
• Automatising Teacher’s Audits - Analysing the quality of video feeds of teachers providing online classes to provide feedback to teachers so as to improve the quality of teaching.

Required Academic Qualifications, Work Experience and Skills

• Master’s degree in CV (required) with 1-2 years of experience or PhD in CV (preferred) in mathematics, computer vision, computer science, machine learning, information systems, or other related fields of study.
• Must have good object-oriented programing & logical analysis skills and experience in any machine/deep learning frameworks like Python, Tensorflow, Keras and PyTorch.
• Understanding about depth and breadth of computer vision, deep learning algorithms, dataflow programming and computer vision libraries Experience in training models through GPU computing using NVIDIA CUDA or on the cloud.
• Strong experience in using both basic and advanced image processing algorithms for feature engineering.
• Ability to transform research articles into working solutions to solve real-world problems.
• Excellent written and verbal communication skills for effectively communicating with the team and ability to present information to a varied technical and non-technical audience.
• Must be able to produce solutions independently in an organized manner and also be able to work in a team when required.
• Must have curiosity, eagerness and motivation to be involved in Data Science and Image Processing.

Desirable Academic Qualifications, Work Experience and Skills

• Strong foundation in data structures and algorithms in Python or C++ Advanced knowledge in performance, scalability, numerical accuracy and best practices for implementing various solutions.
• Proficiency with edge computing principles and architecture preferably for NVIDIA Jetson devices and Raspberry Pi.
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
• Proficiency with AWS or Azure cloud computing environments.
• Exposure to IoT technology.
• Experience in Agile Application Development and Scrum methodologies to develop efficient, maintainable, readable and production-ready pipelines.
• Proficiency in packages like NumPy, scikit-image, PIL, OpenCV, matplotlib, seaborn, etc.

Explore a career with BYJU'S. Write to us at globalcareers@byjus.com and ukcareers@byjus.com