Senior Machine Learning Engineer

Job Title: Machine Learning Engineer

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In the Machine Learning team, you will develop cutting-edge solutions for automated document processing. Machine learning is central to our business, and we continually innovate to improve the quality and scalability of our AI-driven products. As we grow, you’ll play a key role in maintaining our architecture while solving complex technical challenges.

We utilize a modern tech stack including Python, Redis, TensorFlow, Docker, RabbitMQ, and microservices deployed on a Kubernetes cluster in the cloud. In this environment, you’ll have significant influence on both technology and the organisation’s growth and culture.

Key Responsibilities

• Design and develop maintainable software solutions using Python, following industry best practices and design patterns to ensure high-quality code.
• Conduct code reviews and provide feedback to maintain code quality and consistency across the team.
• Translate business problems into technical solutions, selecting appropriate tools and models.
• Develop and maintain transformer-based NLP architectures for improved document processing.
• Stay informed on the latest AI research and apply relevant findings to enhance machine learning models.
• Manage and improve end-to-end prediction services, including model optimization, data management, and system scalability.

Requirements

• Master’s or PhD in Data Science, Computer Science, or related field with a focus on Machine Learning, or equivalent practical experience.
• Minimum of 5 years of experience with machine learning algorithms in academic or industry settings.
• Self-motivated with a structured problem-solving approach and ability to work independently.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Technology, Information, and Media