Lead Data Engineer

We are looking for an experienced Lead Data Engineer with expertise in computer vision and machine learning to spearhead the development of an AI-powered platform for photo evaluation and personalized recommendations. In this role, you will create systems capable of analyzing and ranking photos based on their suitability for personalized physical products. This position is an exciting opportunity to bring together semantic image understanding, aesthetic scoring, and behavioral personalization into a unified recommendation framework.**Responsibilities**- Develop systems leveraging CNN-based models and transformer-based vision architectures to analyze, score, and tag photos with metadata- Build models for facial recognition, grouping, and expression analysis- Generate contextual categories for photos, such as portraits, vacations, and events- Evaluate images for aesthetic appeal and print suitability- Create object and scene detection models to extract valuable metadata from photos- Design and prototype custom transformer architectures tailored to product creation needs- Construct scalable pipelines to process large volumes of image data and produce structured, queryable metadata- Develop and deploy transformer-based machine learning models to analyze user behavior and purchase patterns for personalized product recommendations- Lead experimentation frameworks such as A/B testing to optimize relevance and improve user conversion rates- Build, manage, and maintain the entire machine learning model stack, ensuring seamless deployment and comprehensive system documentation- Collaborate with cross-functional teams to operationalize model development and ensure successful integration into production environments- Communicate effectively with stakeholders and team members while maintaining a self-driven approach to problem-solving**Requirements**:- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience- A minimum of 5 years of experience in software engineering or AI/ML-focused roles- At least one year of experience leading and managing development teams- Expertise in computer vision techniques, including CNNs, vision transformers, facial recognition, object detection, image classification, and embedding generation- Strong experience with recommendation systems, collaborative filtering, and deep learning for personalization tasks- Advanced knowledge of transformer-based models for recommendation systems- Proficiency in Python for designing and deploying AI/ML solutions- Practical experience deploying machine learning models at scale using tools such as Docker, AWS, or GCP- Proven ability to lead cross-functional technical initiatives from concept to delivery- In-depth understanding of the machine learning lifecycle, including data management, model evaluation, explainability, and observability- Proficient English communication skills, both written and spoken, at a B2+ level**Nice to have**- Familiarity with machine learning libraries such as PyTorch or TensorFlow- Hands-on experience with diffusion models, graph neural networks (GNNs), or reinforcement learning**We offer**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- Constant training, mentoring, online corporate courses, eLearning and more- English classes with a certified teacher- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)- Flexible work schedule and dress code- Collaborate in a multicultural environment and share best practices from around the globe- Hired directly by EPAM & 100% under payroll- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)- 13 % employee savings fund, capped to the law limit- Grocery coupons- 30 days December bonus- Employee Stock Purchase Plan- 12 vacations days- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)- Monthly non-taxable amount for the electricity and internet billsEPAM 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.