Are you passionate about changing the world through machine learning and location intelligence? This is the right time to join our team as we embark on a mission to enhance predictive location analytics solutions across the globe. With the growing importance of IoT and location data, we aim to help organizations move beyond basic visualization and analytics towards advanced levels of intelligence through AI and machine learning.
We are seeking an entrepreneurial and collaborative individual with hands-on experience in statistical analysis, machine learning, predictive analytics, and software engineering. Your role will involve consulting closely with customers to understand their needs, developing data science solutions, building high-quality analytics systems, and implementing best practices for geospatial machine learning.
Location: Saudi Arabia
Work Conditions: Hybrid, Full-time
Responsibilities:
- Consult closely with customers to understand their needs.
- Develop and pitch data science solutions that map business problems to machine learning or other advanced analytics approaches.
- Build high-quality analytics systems to address customer business problems using techniques from data mining, statistics, and machine learning.
- Write clean, collaborative code to process big data and streaming data from various sources.
- Perform feature engineering, model selection, and hyperparameter optimization for high predictive accuracy.
- Deploy models to production in cloud, on-premises, or hybrid environments.
- Stay current with technology trends in machine and deep learning.
Requirements:
- 5+ years of experience with Python in data science and deep learning.
- Experience building and optimizing supervised and unsupervised machine learning models.
- Strong understanding of mathematical and machine learning concepts (e.g., calculus, back propagation, Random Forests).
- Applied statistics knowledge and experience developing software collaboratively in Python using version control.
- Ability to perform data extraction, transformation, and loading from multiple sources.
- Data visualization skills using tools such as Matplotlib.
- Strong communication skills, especially with non-technical audiences.
- Bachelor's degree in mathematics, statistics, computer science, physics, or a related field.
Recommended Qualifications:
- Familiarity with Git, Pytorch, Tensorflow, CUDA/GPU programming.
- DevOps/MLOps experience using Docker/Kubernetes.
- Experience with big data tools like Apache Spark.
- Experience with cloud services (AWS, Azure, etc.).
- Familiarity with reinforcement learning models and spatial/GIS concepts.
- Master's degree in a relevant field is a plus.
Language Requirements: Not explicitly mentioned.
We welcome applicants from diverse backgrounds and are committed to creating a supportive environment for all employees. If you don’t meet all the preferred qualifications, we encourage you to still apply.
