Research Scientist

1 week ago


Bengaluru, Karnataka, India Ennoventure Technologies Pvt. Ltd. Full time
Ennoventure is a venturebackeddeeptech company with revolutionary technology to detectcounterfeit goods. Our vision is to create a trusted value chainfor delivering authentic products and experiences. We offer afastpaced and highly collaborative work environment withsignificant opportunities for professionalgrowth.
Asthe Research Scientist you will conduct research on variousComputer Vision algorithms. Collaborate with crossfunctional teamsto integrate Computer Vision solutions into larger systems andproducts.

Conduct research in algorithm design and optimization leveragingmachine learning data mining and other advanced techniques toenhance our brand protection and anticounterfeitsolutions.

Implement algorithmsand computational models in software prototypes and proofofconceptsystems collaborating with Engineering teams to integrate them intoour platform.
Implementation ofhighend efficient models in Machine Learning (e.g. Deep Learning)for accurate analysis and classification ofimages
Development of innovativesolutions for various problems related to Segmentation FeatureAnalysis Classification of images for applications in Digitalsignature identification.

Research and develop advanced low level midlevel and highlevelcomputer vision algorithms including image restoration scenesegmentation target detection and tracking data fusion or videogeoreferencing.

Work with otherresearch team members in improving our coretechnologies.
Support Product andEngineering teams in integrating new innovations into the coreproduct.
Stay current withindustry trends and Advancements in image processingtechnologies.
Collaborate withacademia to develop stateoftheart computer visionalgorithms.
Requirements Bachelor s degree in Engineering or Computer science.
13 years of experience inalgorithm research and development with a focus on machine learningdata mining or related disciplines.
Strong background in computervision and machine learning as well as practical experience indesigning and implementing image processing solutions.
Programming experience withPython Open CV Pandas and other such libraries used incomputational research.
Handsonexperience in developing and implementing Computer Vision andMachine Learning algorithms.

Expertise and experience in developing Computer Vision algorithmswith focus on one or more of the following: Image SegmentationObject Detection and Recognition Registration ComputationalPhotography and Watermarking.

Experience in developing Computer Vision algorithms on the edge(eg. images from mobile phone captures video streams from camerasetc.
Benefits We believe that our people are critical for our ambitious growthplans. We want to build an organization where people thrive feelincluded grow professionally and enjoy having high impact throughtheir work.
We follow a Totalrewards philosophy incorporating all elements of pay performancerewards wealth creation wellbeing learning development and career:

Pay:
Competitive Salary

Financial Reward:
Performancebased

Wellbeing:
Health insurance & Mental health programs

Learning:
Ongoing investment inyou and your skills. Specific selfdevelopment interventions basedon your performance and potential.
Compensation reviews based onrole value determined by mapping and the positioning in theMarket
1-3 years ofexperience in algorithm research and development, with a focus onmachine learning, data mining, or related disciplines. Strongbackground in computer vision and machine learning, as well aspractical experience in designing and implementing image processingsolutions. Programming experience with Python, Open CV, Pandas, andother such libraries used in computational research. Hands-onexperience in developing and implementing Computer Vision andMachine Learning algorithms.

Expertise and experience in developingComputer Vision algorithms with focus on one or more of thefollowing:
Image Segmentation, Object Detection and Recognition,Registration, Computational Photography andWatermarking
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