We are seeking a seasoned Chief Data Engineer with extensive expertise in computer vision and machine learning to lead the creation of an AI\-driven platform for photo evaluation and personalized recommendations. In this role, you will design systems that analyze and rank photos based on their potential for personalized physical products. This opportunity combines semantic image analysis, aesthetic scoring, and behavioral personalization into a cohesive recommendation framework. *We accept* *CVs in English only.* **Responsibilities** * Build systems using CNN\-based models and transformer\-based vision architectures to analyze, score, and tag photos with metadata * Develop models for facial recognition, grouping, and expression analysis * Create contextual categories for photos, such as events, vacations, and portraits * Assess photos for aesthetic appeal and their suitability for printing * Develop object and scene detection models to extract meaningful metadata from images * Design and prototype advanced transformer architectures tailored to meet product creation needs * Build scalable pipelines to process large datasets and generate structured, queryable metadata * Integrate image intelligence outputs into applications such as search, ranking, and personalization * Design and deploy transformer\-based machine learning models to analyze user behavior and purchasing patterns for personalized recommendations * Lead experimentation frameworks like A/B testing to improve recommendation accuracy and user engagement * Oversee the development, management, and deployment of machine learning models, ensuring robust documentation and seamless integration into production environments * Work collaboratively with cross\-functional teams to operationalize model development and ensure successful implementation * Communicate effectively with stakeholders and team members, demonstrating a proactive and self\-directed approach **Requirements** * Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience * At least 7 years of experience in software engineering or AI/ML roles * Minimum of 2 years of experience managing and leading development teams * Participation in at least 2 full\-cycle projects or involvement in multiple phases of various development lifecycles * Expertise in computer vision techniques, including CNNs, vision transformers, facial recognition, object detection, image classification, and embedding creation * Strong experience with recommendation systems, including collaborative filtering and deep learning for personalization * Advanced knowledge of transformer\-based models for recommendation systems * Proficiency in Python for building and deploying machine learning solutions * Experience deploying machine learning models at scale using tools such as Docker, AWS, or GCP * Proven ability to lead cross\-functional technical projects from concept to implementation * Comprehensive understanding of the machine learning lifecycle, including data management, model evaluation, explainability, and observability * Strong English communication skills, both written and spoken, at a B2\+ level **Nice to have** * Experience with machine learning libraries like PyTorch or TensorFlow * Hands\-on experience with advanced techniques such as diffusion models, graph neural networks (GNNs), or reinforcement learning **We offer** * 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 * Health Coverage \- Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family * Visual Benefit \- Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200\.000 COP for any visual health expenses * Life Insurance Plan \- We have partnered with MetLife to offer a full\-coverage Ife insurance plan. So, your family is covered, even if you are gone. * Medical Leave Coverage \- We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us * Professional Growth Opportunities \- We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally * Stock Option Purchase Plan \- As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization * 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 * Community Benefit \- You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams! *Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.* EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.