pi-square
UAE BasedArtificial Intelligence Company
www.pi2.ai
Career
About us
- Pi2 is a new startup company that focuses on developing artificial intelligence technologies. Pi2 develops and commercializes AI products and applications for the space, energy, oil, and gas industry. It aims to provide end-to-end solutions using its data, cloud, and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.
Responsibilities for Job Opportunity
- Translate business objectives into actionable analyses and insights;
- Contribute to the solution design, in collaboration with other data scientists, engineers, and SMEs.
- Data preparation: Extract, clean, audit, and preprocess data for analysis;
- Contribute to the creation of large-scale labeled databases leveraging our annotation team;
- Develop data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization.
- Evaluate proposed AI solutions concerning the project objectives.
- Keep up to date with the latest technology trends.
- Apply state-of-the-art AI techniques to improve existing solutions.
- Deploy and maintain AI models in production.
- Help prepare and visualize interim and final results of analyses.
- Communicate ideas, plans, and results effectively via oral presentations and written reports.
Educational Requirements
Bachelor, Master’s degree in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
Key Skills
- Strong background in applied mathematics, algorithms, and coding.
- Proficient in statistics, machine-learning or deep-learning.
- Strong background in AI application to computer vision, NLP, or signal-processing problems.
- Proficient in at least one development language (e.g., Python), and a deep-learning framework (e.g., Pytorch, Tensorflow).
- Theoretical and at least practical knowledge of popular machine-learning algorithms (PCA, Support Vector Machines, RandomForest, XGBoost, etc.) or deep-learning networks (RNNs, LSTMs, CNNs, shallow networks, GANs, Transformers, etc.).
- Hands-on with useful development tools (PyCharm, Jupyter, Docker, Git, etc.).
- Excellent communication, verbal and written skills.