Chief Ai/computer Vision Engineer

EPAM Systems, Inc.; A distancia; MXN 1,798,000 - 2,339,000; Jornada completa

Descripción de la vacante

A leading technology firm in Mexico is seeking a Chief AI/Computer Vision Engineer to spearhead innovative AI solutions and enhance client recommendations. The role involves overseeing the deployment of advanced computer vision technologies and developing robust algorithms for image analysis. Candidates should possess extensive experience in AI/ML, strong leadership capabilities, and a Master's degree in a relevant field. This position offers a flexible work schedule, a collaborative multicultural environment, and comprehensive benefits, including major medical insurance and a savings fund.

Servicios

Career plan and growth opportunities

Unlimited access to LinkedIn learning solutions

Flexible work schedule and dress code

Major medical insurance with dental and visual coverage

Employee Stock Purchase Plan

30 days December bonus

Formación

• Extensive software engineering background with more than 7 years in AI/ML specialties.
• Expertise in computer vision techniques including CNNs, facial recognition, and object detection.
• Strong experience in recommendation algorithms and deep learning personalization.

Responsabilidades

• Develop and refine CNN and transformer-based vision algorithms for image analysis.
• Create and implement specialized transformer frameworks for product innovation.
• Lead experimentation including A/B testing to enhance recommendation performance.

Conocimientos

AI/ML specialties

Computer vision techniques

Recommendation algorithms

Python

ML frameworks (PyTorch, TensorFlow)

Scaling machine learning solutions

Leadership

ML lifecycle best practices

English proficiency (B2)

Educación

Master’s degree in Computer Science or related field

Herramientas

Docker

AWS

GCP

Descripción del empleo

Join us as a Chief AI/Computer Vision Engineer leading the development of cutting‑edge AI technologies focused on analyzing visual data and enhancing personalized client recommendations. You will oversee the deployment of computer vision, semantic image interpretation, and behavioral AI into scalable, intelligent platforms. Take this opportunity to drive innovative AI solutions that improve client interactions and deliver significant impact.

Responsibilities

• Develop and refine CNN and transformer-based vision algorithms for image analysis and scoring
• Create and implement specialized transformer frameworks for product innovation
• Construct reliable pipelines to process large-scale image datasets and generate organized metadata
• Incorporate visual intelligence into functionalities such as search, ranking, and personalization
• Deploy transformer‑driven models to deliver customized product suggestions
• Lead experimentation including A/B testing to enhance recommendation performance and conversion metrics
• Oversee and document the entire ML model lifecycle from design to deployment
• Coordinate with multidisciplinary teams to direct technical projects from ideation to completion
• Maintain compliance with best practices in data management, model validation, explainability, and system monitoring

Requirements

• Extensive software engineering background with more than 7 years in AI/ML specialties
• Expertise in computer vision techniques including CNNs, vision transformers, facial recognition, object detection, image classification, and embeddings
• Strong experience in recommendation algorithms, collaborative filtering, deep learning personalization, and transformer-based methods
• Proficiency in Python alongside ML frameworks like PyTorch and TensorFlow
• Experience in scaling machine learning solutions using Docker, AWS, GCP, or similar services
• Proven leadership in managing cross‑functional technical initiatives from start to finish
• Thorough knowledge of ML lifecycle best practices covering data handling, model evaluation, explainability, and observability
• Master’s degree in Computer Science or related field with emphasis on mathematics or physics
• English proficiency at B2 level or higher

Nice to have

• Hands‑on experience with diffusion models
• Familiarity with graph neural networks (GNNs)
• Understanding of reinforcement learning principles

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 bills

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.