About this role
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. We're also open to applicants looking for part-time hours.
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
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