Join our team as a **Senior AI/Computer Vision Engineer** to develop next\-generation AI systems that analyze visual media and deliver hyper\-personalized product recommendations. You will lead the integration of computer vision, semantic image understanding, and behavioral AI into scalable, intelligent pipelines. Apply now to contribute to innovative AI solutions that enhance client experiences. **Responsibilities** * Develop and optimize CNN\-based and transformer\-based vision models for photo analysis and scoring * Design and prototype custom transformer architectures tailored to product creation needs * Build scalable pipelines for processing large volumes of image data and generating structured metadata * Integrate image intelligence with downstream applications such as search, ranking, and personalization * Develop and deploy transformer\-based ML models for personalized product recommendations * Lead experimentation frameworks including A/B testing to improve recommendation relevance and conversion * Operate and document the full ML model development and deployment stack * Collaborate across teams to drive cross\-functional technical initiatives from ideation to delivery * Ensure best practices in data management, model evaluation, explainability, and observability **Requirements** * Experience in software engineering with at least 3\+ years in AI/ML\-focused roles * Deep knowledge of computer vision techniques including CNNs, vision transformers, facial recognition, object detection, image classification, and image embedding * Strong experience with recommendation systems, collaborative filtering, deep learning for personalization, and transformer\-based recommendation models * Proficiency in Python and relevant ML libraries such as PyTorch and TensorFlow * Experience deploying ML models at scale using Docker, AWS, GCP, or similar platforms * Proven ability to lead cross\-functional technical initiatives from ideation to delivery * Strong grasp of ML lifecycle best practices including data management, model evaluation, explainability, and observability * Master’s degree in Computer Science or related field, preferably with a math or physics background * English proficiency at B2 level or higher **Nice to have** * Hands\-on experience with diffusion models * Experience with graph neural networks (GNNs) * Familiarity with reinforcement learning **We offer** * Improved medical coverage \- EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation * Lunch Allowance \- You will receive a daily allowance of CLP $ 7,000 per working day. Enjoy a nice meal on us * Allowance for internet and electricity \- You will receive an allowance of CLP $15,000 per month to cover internet and electricity expense * National Holiday Bonus \- We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September * Christmas Bonus \- You will receive an End of Year bonus of CLP $170,539\. It will be paid during the month of December, to ensure you have a Happy Holiday! * Learning Culture \- We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally * Additional Income \- Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways * Are you open to relocation? \- If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home