Unstructured Data Scientist

Position Overview

Our unstructured data science and machine learning team in EMEA is seeking a machine learning engineer with a solid background and focus on unstructured data applied science in Computer Vision (CV) or Natural Language Processing (NLP), either text or speech. The team needs someone who is a skilled software engineer and proficient in ML libraries, system design, and pipelines. In this role, you will be building state-of-the-art models for our products, using test-driven development, and working with the software engineering team to deploy and maintain the models in production.

Job Duties / Responsibilities

• Design, train and deliver machine learning solutions to a wide range of datasets : from small datasets to big data, both unlabeled and labeled.
• Collaborate with the development team and ML engineers to implement, test, and validate new algorithms and integrate the algorithms with the existing front-end and back-end systems.
• Build state-of-the-art models for various modeling tasks (e.g., speech recognition, optical character recognition, text-to-speech, facial recognition, time series forecasting, … etc.)
• Optimize and automate model training and testing, experimentation tracking, development, and production.
• Skilled in breaking down problems, documenting problem statements and estimating efforts.
• Mentor junior engineers, perform code reviews and document design decisions.
• Create web services / APIs for serving ML / AI model results.
• Familiar with MLOps Tools (e.g., MLFlow, Kubeflow, … etc.).
• Familiar with unsupervised, semi-supervised, and self-supervised techniques

Minimum Qualifications

Preferred Qualifications