Machine Learning Engineer

Corsearch-; Helsinki; Hybrid; EUR 65,000 - 90,000; Part time

Job summary

Corsearch- in Helsinki is seeking a Machine Learning Engineer to advance our trademark search engine through NLP and CV approaches, with a focus on production-grade pipelines and multimodal models.

You will design transformer-based systems, collaborate with ML engineers, build robust APIs, and optimize models in production, including LLMs and VLMs for trademark analysis. This is a 9-month fixed-term maternity cover, with part-time options.

Qualifications

• End-to-end NLP and/or CV experience.
• Strong Python software engineering skills.
• Experience with PyTorch and the Hugging Face ecosystem.
• Knowledge of modern neural architectures: Transformers, RNNs, BLIP, LLMs, VLMs, CLIP.

Responsibilities

• Design transformer-based pipelines for data processing and enhancement.
• Collaborate with ML engineers on NLP and multimodal tasks.
• Build and maintain production-grade APIs.
• Monitor, evaluate, and optimize models in production.
• Fine-tune and develop pretrained LLMs and VLMs for trademark search.
• Research and experiment to improve architectures and performance.
• Design and maintain scalable data pipelines and experimentation frameworks.

Skills

NLP pipelines

CV pipelines

Python

Pytest

Docker

mypy

algorithmic complexity

PyTorch

Hugging Face

xTransformers

Transformers

RNNs

LLMs

VLMs

CLIP

Tools

Docker

PyTorch

Hugging Face

xTransformers

SageMaker

CloudWatch

EC2

Job description

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