Data Scientist - Computer Vision (2-30 yrs) Bangalore (Analytics & Data Science)
Snaphunt Pte. Ltd
Bangalore, India
4d ago
source :

The Offer :

  • Develop and deploy image processing & machine learning solutions that will impact life sciences & agriculture industries
  • Excellent career development opportunities
  • Great work environment

    The Employer :

    Our client designs intelligent agriculture solutions. Driven by their passion for digital horticulture, they use computer machine vision, deep learning neural networks and IoT-connected devices to create solutions for sustainable food supply for the increasing global population.

    They provide a working environment that is creative and collaborative to allow their employees to further their skills and interests in fields they are in and might be interested in.

    The Job

    Your responsibilities include :

  • Researching, designing, implementing, and deploying full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.
  • Staying up-to-date with the state-of-the-art in computer vision and deep learning, including edge computing.
  • Developing and implementing state-of-the-art computer vision algorithms for object detection, classification, segmentation, etc.
  • for both live video and static images.
  • Translating business requirements into quick prototypes and work with the R&D, Sales and Marketing teams directly to uncover operational objectives and advance data collection.
  • The Profile :

  • You have a Ph.D. or M.S. in computer science, machine learning, physics, engineering, or related fields.
  • You have at leat 4 years experience in a Data Scientist role or similar field.
  • Having working experience in a product development company focused on Agriculture or Life Sciences is a plus.
  • You have a strong foundation in computer science, algorithms, data structures, machine learning, and statistics.
  • Depth and breadth in state-of-the-art computer vision, deep learning, and machine learning technologies.
  • You are proficient in Tensorflow, Keras, or other deep learning frameworks.
  • You possess proficiency in C / C++, Python and associated packages, and image pre-processing methods.
  • You have experience working with small & large datasets for deep learning applications.
  • Being proficient in AWS or Azure cloud computing environments as well as edge computing principals and architecture is a big plus.
  • Having exposure to IoT-based applications and Agile Application Development & Scrum methodologies is an added advantage.
  • You have excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences.
  • You have technical fluency - you are comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members.
  • Apply
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