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 applicationsCollaborate with other ML engineers on NLP and multi-modal tasksBuild and maintain robust, production-grade APIsMonitor, evaluate, and optimize machine learning models deployed in production environmentsApply, fine-tune, and develop pretrained LLMs and VLMs for trademark search and analysisConduct research and experimentation to improve neural network architectures and model performanceDesign 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) pipelinesStrong software engineering skills: Python, Pytest, Docker, mypy, algorithmic complexityProficient with PyTorch, Hugging Face Ecosystem, and xTransformersDeep 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, OpenCLIPFamiliarity with AWS services: IAM, SageMaker, EC2 spot instances, S3, CloudWatch
Trusted by over 5,000 customers worldwide, Corsearch delivers AI-powered data, deep analytics, and professional services that support brands to market their assets, drive growth, and optimise brand presence against infringement.