DESCRIPTION: Do you have a Data Science and Machine Learning background and strong knowledge and experience in Geospatial Engineering?
Are you an open-minded professional with good English skills?
If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior Geospatial Engineer.
WHAT YOU'LL DOCollaborate with cross-functional teams to understand business requirements and objectives for image analytics projects.Collect, preprocess, and clean image data to prepare it for analysis and modeling.Develop and implement machine learning models and algorithms for image classification, object detection, segmentation, and other image analytics tasks.Evaluate model performance and iterate on model designs to improve accuracy, efficiency, and scalability.Conduct research and stay updated on advancements in image analytics, machine learning, and related fields.Provide technical guidance and support to team members on image analytics projects.Communicate findings, insights, and recommendations to stakeholders through reports, presentations, or visualizations.WHAT YOU HAVEProficiency in programming languages such as 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 techniques for image data.Familiarity with computer vision libraries and tools (e.g., OpenCV, scikit-image) for image processing and analysis.Ability to work both independently and collaboratively in a team environment.Excellent problem-solving skills with a keen attention to detail.Effective communication skills with the ability to present technical concepts to non-technical stakeholders.NICE TO HAVEHands-on experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) for scalable image analytics.Knowledge of distributed computing frameworks (e.g., Apache Spark) for processing large-scale image datasets.Experience with transfer learning, fine-tuning pre-trained models, and model optimization techniques for image analytics tasks.Demonstrated track record of successful projects or publications in the field of image analytics or computer vision.WE OFFERWORK & LIFE BALANCE: Enjoy more of your personal time with flexible & remote work options, 24 working days of annual leave, and paid time off for numerous public holidays.CONTINUOUS LEARNING CULTURE: Develop your hard & soft skills with internal training and mentorship opportunities, sponsored professional certification, and access to 18,000+ LinkedIn courses.CLEAR & DIFFERENT CAREER PATHS: Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.GLOBAL RELOCATION OPPORTUNITIES: EPAM has a presence in more than 50 countries globally.
Explore opportunities to relocate to a new country, and EPAM will provide relocation support for you and your family.COMPETITIVE BENEFITS: Benefit from a competitive salary, private health insurance, employee stock purchase plan, special discount programs, plus internal wellbeing programs to take your career to the next level.STRONG PROFESSIONAL COMMUNITY: Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise, and make friends.ABOUT EPAMEPAM is a leading digital transformation services and product engineering company with over 53,150 EPAMers in more than 55 countries and regions.
Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world.
In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga and Madrid as well as remotely across the country.
Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
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