Machine Learning Specialist - Product Company

Role Value:

As a Machine Learning Engineer IV., you will have the opportunity to significantly

impact the security and user experience of our ID verification solutions. Your expertise in

deep learning and computer vision will drive the development of innovative algorithms that

keep Organisation at the forefront of the industry. By deploying and maintaining these models in

production, you will ensure the robustness and reliability of our solutions, supporting our

clients across diverse industries such as Financial Services, Travel, Sharing Economy,

Fintech, and Gaming. Your contributions will be pivotal in maintaining Organisations reputation as

the leading provider of online identity verification solutions, helping to meet the growing

demand for secure and seamless user verification globally.

Example Responsibilities

Develop, maintain, and own key fraudulent CV models of Organisation, which shapes the

whole fraud product offering of Organisation.

Design and implement machine learning, deep learning, classical CV focused on

fraud detection.

Research to support the deployment of the advanced algorithms.

Deploy models as AWS SageMaker endpoints or directly onto devices.

Stay updated with the latest advancements in machine learning, deep learning, and

computer vision by engaging with academic papers and attending industry

conferences.

Work collaboratively with other engineers and product managers in an Agile

development environment.

Experience and Qualifications

Bachelors or Masters degree in Computer Science, Data Science, Machine

Learning, or a related field.

A minimum of 6+ years of commercial experience in the field of machine

learning/deep learning, not including time spent studying (2 years with Masters).

Must have: experience with training of DL models for deep fakes, synthetic data, or

gen AI data detection.

Deep understanding of how to convert ML metrics to product goals.

Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing

production-grade Python code.

Demonstrated experience in implementing best practices for monitoring and

maintaining ML models in production environments.

Strong communication and problem-solving skills.

Great to have Experience and Qualifications

Experience in working with LLM or VLMs.

Work with image or video generation.

Experience with cloud environments - AWS / GCP.

Experience in working in global organizations across several time zones