Machine learning Engineer (Content Classification)

Location: EU Fully Remote

Duration: 12 months, plus extension.

What You'll Do

You will work with our team of engineers at the intersection of vision, language and machine

learning to create state-of-the-art models for various applications, such as content moderation, semantic search, chatbot assistants, etc. You will be responsible for the design, implementation and deployment of production-ready natural language processing models to retrieve, classify, or generate data.

In this role, you will:

• Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for natural language processing problems.
• Critically assess the effectiveness of such models and make recommendations for improvements.
• Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones.
• The team operates in the gaming industry, focusing on building content safety tools to ensure a secure environment.

What we're looking for:

• MSc or PhD in Computer Science, Mathematics or related field, OR 3+ years of relevant
• industry experience.
• Experience creating innovative machine learning algorithms for problems in natural
• language processing and deploying them as production-level systems in industrial environments
• Strong background in Machine Learning engineering.
• Theoretical expertise in building ML models capable of content classification and content generation.
• Skilled in integrating tools to build solutions from scratch, with the ability to:
• Design data-specific architectures.
• Work entirely within AWS (Amazon Web Services) environments.
• Proficiency in Python and PySpark (primary languages).
• Experience with Kubernetes for deployment.

Expert, hands-on knowledge of:

• Deep learning techniques for supervised, semi-supervised and unsupervised learning
• Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
• Experience with working collaboratively with other developers, following a flexible/agile/lean approach

Desirable:

• Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale.