Middle Machine Learning Engineer

DataSpike is an independent international RegTech startup founded in 2020 and currently located in Dubai, UAE. We create AI/ML-based solutions to help our clients to detect entities or organizations partnership with whom may be risky for their business. Moreover, DataSpike has a unique Pay-As-You-Go pricing model, so clients do not need to commit to a year contract to screen their customers simply.

Формат работы: Full Remote 

Вам предстоит:

• Developing and implementing algorithms for image forgery detection: This may involve researching and experimenting with different methods for identifying and detecting manipulated images, such as image analysis, machine learning, and computer vision techniques
• Collecting and preprocessing data. This includes gathering large datasets, performing data labeling, and preparing the data for analysis by cleaning, resizing, and formatting it appropriately
• Training and testing the models using statistical methods and machine learning algorithms to train models on the collected data, and testing the performance of the models using various evaluation metrics
• Analyzing and interpreting results
• Collaborating with other teams such as IT, software development, and legal, to ensure that the image forgery detection methods are implemented in a manner that respects data privacy and security
• Keeping updated with the recent research in the field of image forgery detection

Требования:

• BS, MS, or PhD Degree in Computer Science/Machine Learning or similar
• 2+ years of experience in ML/ CV area
• Fraud detection/image forgery domain expertise as an advantage
• Strong background in Python: Data Structures and Algorithms, Typing + versioning with Git
• Experience with PyTorch and/or TensorFlow, CatBoost, Hydra, Mlflow
• Proactivity, responsibility for own initiatives
• Ability to collaborate effectively with teammates
• Being able to complete end to end delivery cycle from research and up to solution running on production