**DESCRIPTION**:
Are you a skilled Data Science Engineer with a passion for building machine learning models for image analytics?
Do you thrive in dynamic, collaborative environments?
If so, we have an exciting opportunity for you!
We're currently seeking a Data Science Engineer to join our vibrant team.
This role offers the chance to collaborate with cross-functional teams to understand business requirements for image analytics projects. If you're ready to take your career to the next level, we'd love to hear from you!
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.
RESPONSIBILITIES
- Collaborate with cross-functional teams to understand business requirements for image analytics projects
- Collect, preprocess, and clean image data for analysis and modeling purposes
- Develop machine learning models and algorithms for tasks such as image classification, object detection, and segmentation
- Evaluate model performance and iterate on designs to improve accuracy and scalability
- Deploy machine learning models into production environments and integrate with existing systems
**REQUIREMENTS**:
- Proficiency in Python, R, or MATLAB for data analysis and modeling
- Strong understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and image processing techniques
- Experience with data preprocessing, feature engineering, and dimensionality reduction for image data




- Familiarity with computer vision libraries (e.g., OpenCV, scikit-image) and tools for image processing
NICE TO HAVE
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) for scalable image analytics
- Knowledge of distributed computing frameworks (e.g., Apache Spark) for large-scale image datasets
- Experience with transfer learning, fine-tuning pre-trained models, and model optimization for image analytics
TECHNOLOGIES
- Programming Languages: Python, R, MATLAB
- Machine Learning Frameworks: TensorFlow, PyTorch
- Image Processing Libraries: OpenCV, scikit-image
- Cloud Platforms: AWS, Azure, Google Cloud Platform
- Distributed Computing: Apache Spark
WE OFFER
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- 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)
- Adaptable 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 plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
- Monthly non-taxable amount for the electricity and internet bills
CONDITIONS

📌 Data Science Engineer (México)
🏢 Epam Systems
📍 México