• Data Science Engineer Mexico
  • EPAM Systems in Mexico, , Mexico
  • jobs
  • 1 month ago

jobs 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.

• 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

• Proven experience in building machine learning models for image analytics applications
• 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

• 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

• 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

• 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)
• 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 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

• By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy


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