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.

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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.

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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.).

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