[smowl] Senior Computer Vision Engineer

hace 4 semanas


Bilbao, España newrole A tiempo completo

Description

Our client is on a mission to build trust in online learning. So they will enable people to access quality education 100% online and as a consequence access to new opportunities that can improve your quality of life.

Online education is growing, but with it, some common problems are arising across the industry: teachers and evaluators do not trust to evaluate online.

How can organizations avoid online fraud? How can organizations verify that a user was actually the one who took the online exam or actually acquired the required skills in the online course?

Our client was born with the aim of helping organizations improve the quality assurance of their online evaluations. They have developed a system and method of authentication and continuous monitoring of the user in an online service using multibiometry.

**How is our people?**:
**They **are the ones who make this happen and the core of the company. They make this company a reality, making a global impact and building the future of education.

**What drives they?**:
They're a growing company with happy and motivated people, working on an impactful product in a fast-paced environment. They are driven with the following **values - 3BDAS**:

- **Be positive**: Practice positivity: look for solutions, expecting good results and success. Acknowledge bad results or experiences, learn from them, do better.
- **Be collaborative**: Constructively explore ideas with others to search for solutions that extend one's limited vision (communicate, visualize and acknowledge).
- **Build trust**: By being honest and supportive, actively listening, being consistent, collaborating across teams and functions, and taking responsibility for your acts and words.
- **Dare to commit**: Decide to show up fully and consistently while seeing things to their logical or necessary conclusion. Make things work.
- **Always go beyond your limits**: Through self-awareness, curiosity and initiative. With determination, discipline and DOING.
- **Stay Agile**: Be able to quickly adapt or evolve in response to changing circumstances in a highly responsive way so that we deliver our service to meet and exceed customer expectations and in a timely manner.

**Requirements**:

- Responsibilities
- Formulate innovative approaches to combat fraud using computer vision and machine learning.
- Create new features, train new models, deploy them into production environment.
- Contribute by extending and improving our ML frameworks and platform, creating next-generation capabilities.
- Build and deploy solutions to interesting computer vision or machine learning problems including document data extraction, fraud detection or biometric verification challenges. Design and implement efficient pre-processing steps around digital images or video files
- Work alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals.

Desired skills and requirements
- Masterʼs degree or PhD preferably in Computer Science, or equivalent experience.
- You have demonstrable experience in solving computer vision problems. You're enthusiastic and technically curious about ML and AI technologies.
- Experienced in developing, deploying and operating ML models in production. Hands on experience working on computer vision and machine learning projects e.g. face verification, object detection and/or classification.
- Experience training DNN architectures for classification, object detection, and segmentation
- Excellent coding skills in Python.
- Proficiency with some of these machine vision and machine learning frameworks: OpenCV, TensorFlow + Keras, TensorRT, PyTorch, Pytorch + FastAI.
- Good working knowledge of the tools in our dev stack, including Git, AWS and others mentioned previously.
- Upholding and promotion of good practices in code design, quality and security. Communication is important so we expect you to be able to translate complex ideas into understandable content.
- A pro-active, self-managing attitude. Keen to take ownership for delivering complex projects, from design to deployment to operation. Your benefits
- Competitive salary, commission and attractive benefits
- Global career path for specialists and leadership
- Tailored trainings and development opportunities



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