Artivatic.ai
Location
Indore | India
Job description
Why this Job is Amazing:
Computer vision engineers apply computer vision and machine learning research to solve real-world problems. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Influences top management internally & externally (industry) to accept new ideas. Creates and conceptualizes solutions to Artivatic in specific discipline.
Objective of the position:
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, localisation, and recognition of certain objects in images (e.g. human faces)
Role and Responsibilities:
-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.
Mandatory traits/ skills
-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, Dlib, Yolo, Capsule Network or similar 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.
Qualifications
· Bachelors or Master's degree in Computer Science, Computer vision, or related field with specialization in Image Processing or machine learning.
· 3- 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
Remuneration:
Competitive with opportunity to create wealth through performance and delivery.
Job Location: Indore/ Gurgaon
Work From Office
If you thrive in a dynamic work environment, there is always a new horizon to explore. We are proud to offer excellent benefits, challenging work, and competitive financial rewards. Our employee engagement programs prioritize employees' well-being. We offer a comprehensive benefit plan and perks, open environment which promotes Work life balance. Teamwork extends to our social lives too from local social events to company-wide activities and corporate outing, we want our employees to take time to relax while working and have fun element in work.
Choosing Artivatic means working in a company with solid growth prospects and building career around the strength of technology. By joining us you can become a part of growing team that values your opinion, ideas, and intellectual courage. Contribute to our growth by using your skills, grow your career in insurance domain and increase your industry impact. We value hard workers and reward with unlimited opportunity. If one has the passion and the dream to do something different, join us.
Let's Grow Together, be a Part of our Success Journey & Live your Professional Dream.
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