RenewBuy Hiring Drive 2024: RenewBuy Hiring Drive 2024 for its Data Scientist. RenewBuy Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s or Master’s degree in Computer Science, Computer vision, or a related field with a specialization in Image Processing or machine learning. if you are interested, please apply as soon as possible.
Company Name: RenewBuy
Role: Data Scientist
Location: Indore
Experience: 1- 6 Year
Qualification: Bachelor’s or Master’s degree in Computer Science, Computer vision, or related field with specialization in Image Processing or machine learning.
Batch: Any
Job Type: Full Time
Salary: 7.7 LPA (Expected)
RenewBuy Hiring Drive 2024
Job Description:
- The purpose of computer vision is to program a computer to understand a scene or features in an image.
- Typical goals of computer vision include:
- The detection, segmentation and recognition of certain objects in images (e.g., human faces)
Requirements:
- Bachelors or Master’s degree in Computer Science, Computer vision, or related field with specialization in Image Processing or machine learning.
- 1- 6 Years of Industry experience in Computer Vision & LLM
- Research experience in Deep Learning models for Image processing or OCR-related field is preferred
- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus
- Must be from research institute or research experience or PhD who will do R&D is a plus
- Excellent skills in developing Python in the Linux environment.
- Programming skills with multi-threaded GPUs.
- Experience in applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images
- Good knowledge of Computer Science, math, and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)
- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.
- Broad Computer Vision knowledge – Construction, Feature Detection, Segmentation, Classification;
- Machine/Deep Learning – Algorithm Evaluation, Preparation, Analysis, Modeling, and Execution.
- Familiarity with Open CV, Yolo Models, OCR and Open Source AR platforms and products.
- Have profound knowledge of Seq2Seq, temporal Classification, Opencv, etc.
- Should have logical knowledge for generating the real-time dataset.
- Added advantage if you have worked in Unstructured Documents
- Strong problem-solving and logical skills.
- A go-getter kind of attitude with a willingness to learn new technologies
- Well-versed in software design paradigms and good development practices.
Responsibility:
- Developing novel algorithms and modelling techniques to advance the state of the art in Document and Text Extraction
- Image recognition, Object Identification, and Visual Recognition
- Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products
- Be responsible for measuring and optimizing the quality of your algorithms.
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