Role:Computer Vision Intern
Location: work from home
JOB DESCRIPTION:
- As a Computer Vision Engineer, you’ll be working on several areas like Visual Recognition, Segmentation, Feature Extraction/Representation Learning.
- You’ll be responsible for creating image-based deep learning systems and making them production ready., etc.
- At Level AI, you’ll get your hands on millions of images and respective text data. Your job is to use this data and extract information from the data.
- Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems.
- You will work with various stakeholders to understand their business requirements. Formulate the appropriate predictive solutions leveraging statistical and machine learning tools.
- Prioritizing tasks and taking ownership with efficiently managing project timelines and deliverables.
- Help shape the product roadmap and execute the modeling at scale.
- Researching on SOTA models and implementing the models on the current data.
- Collaborate with a cross-functional team to integrate computer vision technology into products and services.
Education Required:
- A Bachelors/Masters degree in Computer Science, Information Technology, Electrical Engineering, Statistics or related field from Tier-I college.
- Eligible batches: 2022, 2023 and 2024 passouts. Please refrain yourself from applying if you are not from these batches.
skills
- A deep understanding of computer vision, machine learning, and deep learning concepts and the ability to improve current models through finding the right area of improvement.
- Strong problem-solving skills with the ability to think from the first principles.
- Strong proficiency in Python.
- Experience in any one of the deep learning frameworks like Pytorch/Tensorflow.
- A thorough understanding of the mathematics behind the various deep learning algorithms.
Preferred skills, but not a must-have:- Worked on projects that involved multimodal machine learning (for example, text+image classification).
- Worked on projects that included feature extraction from images and a good understanding of clustering and distance metrics.
- Experience in Self-Supervised and Semi-Supervised learning.
So, if you are someone who is passionate about AI and has a strong desire to work in a fast-paced, dynamic environment, with an ability to demonstrate the ownership capabilities, we strongly encourage you to apply.Skills: Python,computer vision,deep learning,machine learning,coding,problem solving,communication.
