Machine Learning Engineer

Build and deploy cutting-edge machine learning solutions to real-world challenges across diverse industries.

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Role Overview

As a Machine Learning Engineer at Eggiasas, you'll design, implement, and deploy scalable ML solutions that power our products and services. You'll work closely with research scientists to operationalize AI models and ensure they meet production requirements.

Responsibilities

  • Develop and maintain production-grade machine learning systems
  • Optimize model performance for real-time deployment
  • Collaborate with cross-functional teams on AI solution integration

Requirements

  • Bachelor's/Master's in Computer Science or related field
  • 3+ years ML engineering experience with Python and cloud platforms
  • Experience with TensorFlow/PyTorch and MLOps workflows

What We Offer

Production-Grade Systems

Work on ML systems powering real-world applications with global impact across healthcare, finance, and more.

Professional Growth

Training stipend and access to conferences for continuous learning and skill development.

Hybrid Work Options

Flexible work arrangements with office access in Helsinki or fully remote.

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Meet Our Engineering Team

Join forces with ML engineers building the future of AI applications.

AS

Alex Simpson

Senior ML Engineer

ER

Erik Rund

Lead Cloud Architect

JS

Jonna Salmi

MLOps Specialist