Become a **Lead AI/Computer Vision Engineer** driving the creation of advanced AI solutions that analyze visual content and personalize product recommendations. You will spearhead the integration of computer vision, semantic image understanding, and behavioral AI into scalable intelligent systems. Join us to shape innovative AI technologies that elevate client experiences and deliver impactful results. **Responsibilities** * Develop and enhance CNN and transformer\-based vision models for image evaluation and scoring * Design and implement custom transformer architectures to support product development * Build robust pipelines to handle high volumes of image data and produce structured metadata * Integrate visual intelligence into applications like search, ranking, and personalization * Deploy transformer\-based models for tailored product recommendations * Lead experimentation processes including A/B testing to optimize recommendation quality and conversion rates * Manage and document the complete ML model lifecycle from development to deployment * Collaborate with cross\-functional teams to lead technical initiatives from concept through execution * Ensure adherence to best practices in data handling, model assessment, explainability, and monitoring **Requirements** * Extensive software engineering experience with over 5 years focused on AI/ML roles * In\-depth expertise in computer vision methods including CNNs, vision transformers, facial recognition, object detection, image classification, and embeddings * Strong background in recommendation systems, collaborative filtering, deep learning personalization, and transformer\-based recommendation techniques * Proficiency in Python and ML frameworks such as PyTorch and TensorFlow * Experience deploying machine learning models at scale using Docker, AWS, GCP, or equivalent platforms * Demonstrated leadership in managing cross\-functional technical projects from inception to delivery * Comprehensive understanding of ML lifecycle best practices including data management, model evaluation, explainability, and observability * Master’s degree in Computer Science or a related discipline, preferably with a math or physics emphasis * English communication skills at B2 level or above **Nice to have** * Practical experience with diffusion models * Knowledge of graph neural networks (GNNs) * Understanding of reinforcement learning concepts **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