Key Talent Indicator is a technology consulting firm specializing in human resources that offers innovative solutions for talent management. We have an approach based on the use of our AI-powered software that allows you to evaluate and analyze your skills and apply to the job offers that best match you. We are efficient, evaluate talent objectively without biases, and close the hiring time in record time, delivering optimal results. As part of a scale-up in the RegTech space, we develop SaaS solutions specialized in digital identity security, electronic signatures, and fraud prevention. Our platform enables businesses to enhance their client experience with solutions such as: - Electronic Signature: digitization and automation of signing processes - KYC ID Verification: online identity and document verification with AI and machine learning To achieve this mission, we are looking for a Machine Learning / Computer Vision Engineer to support our strong growth and expand our Data AI capabilities. The team's objective is to develop AI solutions around documents and data, addressing product needs such as KYC verification. You'll be instrumental in driving deep learning model development and advancing the industrialization of services accessible via APIs. In this role, you'll join an RD team of security experts, driven by values of passion, quality, rigor, and collaboration. What you will do Contribute to the advancement of Data AI (Data Science, Data Engineering, Annotation) Participate actively in sprint tasks, engaging in all stages of the development lifecycle Join the team in monitoring tech trends and innovations in AI Support the supervision and production of our AI services Lead studies on Computer Vision, Machine, and Deep Learning Draft scientific study reports Develop new features and resolve bugs Conduct production incident investigations Write comprehensive tests (unit, end-to-end, integration) Contribute to product vision with your technical expertise Be involved in the design phase Participate in workshops to estimate the development cost of features on the roadmap What we believe should contribute to your success in this context Minimum of 5 years' experience in data science or a related field. Proficient with Linux and IDEs like Visual Studio Code or PyCharm. Strong Python skills. Skilled in at least one deep learning framework (TensorFlow, Keras, PyTorch). Experience with deep learning architectures (CNN, YOLO, UNET, Visual Transformers, BERT). Familiar with classic computer vision/image processing algorithms. Knowledge of CI/CD pipelines (Jenkins, GitHub Actions). Solid understanding of the software development lifecycle. Fluent in English (written and spoken). Transparent and open in communication. LI-MM1