Machine Learning Engineer

Posted 8 Days Ago
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Helsinki, FIN
Hybrid
Entry level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics
The Role
Develop and improve a trademark search engine using NLP, computer vision, transformers, LLMs, and VLMs. Responsibilities include building production APIs, scalable data pipelines, experimentation frameworks, and model monitoring and optimization. The role involves collaborating on multimodal tasks, fine-tuning pretrained models, researching neural architectures, and improving model performance. This is a nine-month fixed-term maternity cover contract, with part-time hours possible, based in Helsinki with hybrid work.
Summary Generated by Built In

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

Skills Required

  • Proven experience building end-to-end NLP and/or Computer Vision pipelines
  • Strong software engineering skills with Python, Pytest, Docker, mypy, and algorithmic complexity
  • Proficiency with PyTorch, the Hugging Face Ecosystem, and xTransformers
  • Deep knowledge of modern neural architectures, including Transformers, RNNs, BLIP, LLMs, VLMs, and CLIP
  • Experience with vision-language models including LLaVA, Phi-3 Vision, Qwen-VL, or OpenCLIP
  • Familiarity with AWS IAM, SageMaker, EC2 spot instances, S3, and CloudWatch
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The Company
HQ: London
1,569 Employees

What We Do

Corsearch intelligent Trademark & Brand Protection solutions are revolutionizing how companies commercialize and protect their most valuable assets. 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 optimize brand presence against infringement. Without the right intellectual property, companies have little more than good ideas. Corsearch's integrated solutions convert those ideas into brand value through trademark research and IP protection solutions that simplify the commercial landscape and deliver real results. Whether it’s online or offline, Corsearch helps customers to secure, monitor, and enforce their brands. Behind the world’s best-known brands, there’s Corsearch.

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