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 with in 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 satirical 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 pass outs. 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 abilities 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 / Tensor flow
- 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 disserting and distance metrics.
- Experience in self supervised and semi supervised learning
So. if you are someone who is passionate about AI and has strong desire to work in a fast paced, dynamic environment, with an abilities to demonstrate the ownership capabilities, we strongly encourage you to apply.
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