Machine Learning Engineer

Reporting to:Principal Data Scientist

Location:Helsinki/ 2 days Hybrid

About the Role:

We're looking for a passionate and skilled Machine Learning Engineer to enhance and evolve our trademark search engine. In this role, you'll explore and implement state-of-the-art NLP and CV architectures tailored to the complex domain of trademark search.

This role is a 9-months fixed term contract maternity cover for part-time hours of 2.5 days per week.

Key Responsibilities in this Role:

• Design and implement transformer-based pipelines for data processing and enhancement across diverse applications

• Collaborate with other ML engineers on NLP and multi-modal tasks

• Build and maintain robust, production-grade APIs

• Monitor, evaluate, and optimize machine learning models deployed in production environments

• Apply, fine-tune, and develop pretrained LLMs and VLMs for trademark search and analysis

• Conduct research and experimentation to improve neural network architectures and model performance

• Design and maintain scalable data pipelines and experimentation frameworks

What are we looking for

• Proven experience in end-to-end NLP and/or Computer Vision (CV) pipelines

• Strong software engineering skills: Python, Pytest, Docker, mypy, algorithmic complexity

• Proficient with PyTorch, Hugging Face Ecosystem, and xTransformers

• Deep knowledge of modern neural architectures: Transformers, RNNs, BLIP, LLMs, VLMs, CLIP

Additional desirable experience

• Experience with vision-language models: LLaVA, Phi-3 Vision, Qwen-VL, OpenCLIP

• Familiarity with AWS services: IAM, SageMaker, EC2 spot instances, S3, CloudWatch