Careers at Jonajo

Data Scientist (Computer Vision & Image Processing)

Responsibilities

As a computer vision and deep learning data scientist you will:

  • Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.
  • Keep up with state-of-the-art methods in computer vision and deep learning and apply them to improve and create new solutions.
  • Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, or recognition.
  • Collaborate with team members on developing computer vision systems starting from prototype to production.
  • Integrating cutting edge machine learning / deep learning techniques with mobile applications.
  • You enjoy creative and structured problem solving. You like the challenge of working on complex challenges with structured and unstructured data and are capable of breaking a larger problem into sizable chunks to work on.
  • Translate business requirements into quick prototypes or proof of concepts and work with customers directly to uncover operational objectives.

Qualifications

  • Bachelor degree in CS or related field.
  • PhD or MS in science, engineering, math, statistics or related fields a plus.
  • Strong foundation and/or courses taken in programming (3+ yrs in Python, Java, Scala, R, or combined).
  • Computer vision related experience and/or courses, image processing, image classification, semantic segmentation, CNN, RNN, etc.
  • Experience with machine learning / deep learning tools or frameworks like Scikit learn, XGBoost, Spark, Tensorflow, Keras, or PyTorch.
  • Experience in integrating machine learning with Mobile applications is a must. Experience with integrating machine learning / deep learning techniques with iOS and Android app platforms natively.
  • Experience with Augmented Reality for mobile apps
  • Experience with Swift for iOS development is highly preferable.
  • Experience with Django, Flask frameworks a plus.
  • Experience with machine learning / deep learning integration with React Native a plus.
  • Excellent written and verbal communication skills and ability to communicate effectively to both technical and non-technical audiences.
  • Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members.

Desired Skills

  • Experience applying latest advances in deep learning and computer vision research to real-world problems.
  • Experience with integrating machine learning / deep learning techniques in mobile applications.
  • Experience with cloud computing environments (AWS, Azure, Google cloud).
  • Experience in large-scale geospatial querying and analytics on distributed computing systems.
  • Professional experience working in engineering teams, and with tools like Git, Jira, SQL.
  • Proficient with a distributed computing platform (Hadoop, Spark, etc.).

Last Updated:
March 4, 2022

Department:
Engineering

English Level:
Client Facing (TOEFL 610+)
Location:
Anywhere in Mexico

Years of Experience:
3

Apply Here

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