About the Job:
Are you passionate about changing the world through machine learning and location intelligence? If yes, now is the right time to join our team! With the IoT revolution and the exponential growth of mapping and location data, location is becoming increasingly vital for organizations and businesses. We aim to enable these entities to move beyond basic visualization and analytics towards advanced predictive intelligence, event forecasting, and significant work automation through AI and machine learning.
We are looking for an entrepreneurial and collaborative individual with strong hands-on experience and a solid track record in statistical analysis, machine learning, predictive analytics, and software engineering, as well as a passion for location. Your mission will be to help us build world-class predictive location analytics solutions for customers in more than 160 countries.
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Responsibilities:
- Consult closely with customers to understand their needs.
- Develop and pitch data science solutions that link business problems to machine learning or other advanced analytics approaches.
- Build high-quality analytics systems to solve customer business problems using data mining, statistics, and machine learning techniques.
- Write clean, collaborative, and version-controlled code to process big data from various sources.
- Perform feature engineering, model selection, and hyperparameter optimization for high predictive accuracy, deploying models to production in cloud, on-premises, or hybrid environments.
- Implement best practices in geospatial machine learning and develop reusable components for demonstrations and rapid prototyping.
- Stay updated with the latest technology trends in machine and deep learning and incorporate them into project deliveries.
Requirements:
- 5+ years of experience with Python in data science and deep learning.
- Experience in building and optimizing supervised and unsupervised machine learning models, including deep learning.
- Fundamental understanding of mathematical and machine learning concepts (e.g., calculus, back propagation, Bayes’ theorem, Random Forests, time series analysis).
- Experience with applied statistics concepts.
- Ability to perform data extraction, transformation, and loading from multiple sources.
- Skill in producing data visualizations using tools like matplotlib.
- Self-motivated and a life-long learner.
- Strong communication skills, particularly with non-technical audiences.
- Bachelor’s degree in mathematics, statistics, computer science, physics, or a similar field.
Recommended Qualifications:
- Familiarity with Git, Pytorch, Tensorflow, CUDA/GPU programming.
- DevOps/MLOps experience with Docker/Kubernetes.
- Experience with massive batch/streaming data using big data tools (e.g., Apache Spark).
- Knowledge of cloud services (e.g., AWS, Azure).
- Experience building reinforcement learning models.
- Understanding of spatial and GIS concepts, preferably with Esri software.
- Master’s degree in mathematics, statistics, computer science, physics, or a related field.
Location: Riyadh, Riyadh, Saudi Arabia
Work Conditions: Hybrid, Full-time
Language Requirements: Not specified.
Esri is an equal opportunity employer and encourages applications from all qualified individuals, regardless of background or identity.
