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Lead AI/Computer Vision Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

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. *We accept* *CVs in English only.* **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** * 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.

Source:  indeed View original post
Valentina Rodríguez
Indeed · HR

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