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Urgent! Lead Data Scientist Job Opening In Mexico, Mexico – Now Hiring EPAM Systems



Job description

1 day ago Be among the first 25 applicants

Overview

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.

We are seeking a Lead Data Scientist to join our team.

You will be responsible for delivering an advanced warehouse safety solution using state-of-the-art computer vision technology.

This project is designed to improve safety standards in Amazon warehouses by analyzing video footage to detect safety hazards and unusual events.

Responsibilities

  • Guide the design and implementation of computer vision models for object and anomaly detection using frameworks like YOLO and Amazon SageMaker Ground Truth
  • Improve model performance, scalability, and accuracy through hyperparameter optimization and data augmentation strategies
  • Assess and incorporate large language models to enhance features such as data labeling and extracting insights
  • Manage the end-to-end lifecycle of AI and machine learning models, from data annotation to deploying inference pipelines in production
  • Work closely with ML Ops engineers to integrate models into robust pipelines that follow AWS architectural best practices
  • Ensure the delivery of high-quality annotated data using Amazon SageMaker Ground Truth for effective model training
  • Analyze dataset reliability and model performance to boost accuracy in real-world computer vision applications

Requirements

  • Bachelor’s or Master’s degree in mathematics, statistics, computer science, data science, or a related field
  • Over 5 years of experience in data science or a similar discipline
  • At least one year of experience in leading and managing development teams
  • Advanced knowledge of computer vision algorithms and frameworks, especially YOLO and modern object detection models
  • Extensive experience with Amazon SageMaker, including Ground Truth for data labeling and building scalable machine learning pipelines
  • Strong programming skills in Python, with a focus on data science, artificial intelligence, and machine learning workflows
  • Proficiency in AWS cloud-native architecture, including services such as Lambda, DynamoDB, Aurora, S3, and SNS/SQS
  • Demonstrated success in developing and deploying AI and machine learning systems in production environments
  • Familiarity with model evaluation metrics like precision, recall, and F1 score, and their use in model optimization
  • Fluent English communication skills, both written and spoken, at B2+ level or higher

Nice to have

  • Understanding of AWS edge services such as AWS Panorama for deploying computer vision solutions on IoT devices

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering, Information Technology, and Business Development

Industries

  • Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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Note: This refined description preserves the original job information while ensuring proper, accessible formatting without changing the job content.

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Required Skill Profession

Biología, Biotecnología Y Química



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