DATA SCIENCE ENGINEER

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 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.
., TensorFlow, PyTorch), and image processing techniques Experience with data preprocessing, feature engineering, and dimensionality reduction for image data Familiarity with computer vision libraries (e.
., OpenCV, scikit-image) and tools for image processing NICE TO HAVE Hands-on experience with cloud platforms (e.
., AWS, Azure, GCP) for scalable image analytics Knowledge of distributed computing frameworks (e.
., 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) 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 CONDITIONS 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