Machine Learning Engineer

About

More independence, freedom, and better payCoody believes in combining the freedom and flexibility of freelancing with the security of traditional employment.

It's not rocket science.

Overpaid managers, fancy offices, and heavily burdened organizations are history.

The tech talent of tomorrow deserves a new, independent, and well-paid standard.

Welcome to what we call Gravity Free Consulting.

Why CoodyAt Coody, we cut out everything unnecessary to give more back to you as a consultant. And we have done it in the package of a slimmed and efficient organization, meaning no overpaid managers, no fancy offices and no luxurious conferences. But, what does this mean in practice?

Maximized Compensation - Typically a +40% salary increase.

Freedom & Flexibility - No bosses. All digital. Fully remote for those who prefer.

Employment Security - Fixed salary, pension, insurance, paid vacation and a big educational fund.

Shaping the Future - Projects and assignments for digital game changes like Mojang, Spotify, Volumental, Volvo Cars, Varjo, Toca Boca, Hemnet, and exciting startups and scaleups.

This is CoodyWe’re a diverse community of ambitious tech people from more than 14 nationalities working on exciting challenges with customers across Sweden, Finland, USA, and the UK in industries ranging from gaming, AR, EV, AI, Medtech and Fintech.

Coody is more of a platform than a traditional consultancy. Everything we do, we do to make sure individuals working here can live according to their own priorities and unique ambitions. A consultant-first environment where you have better control over your career.

Explore our Employee Handbook and discover a company that actually puts consultants first.

What You’ll Be Doing

As a Machine Learning Engineer at Coody, you’ll dive into exciting and challenging AI projects to build and optimize machine learning models for production use cases, ensuring they are highly efficient and scalable. You’ll also design and build machine learning infrastructure, often in cloud environments, to support large-scale deployments for our customers. Here’s what your day-to-day will look like:

• Design, develop, and deploy scalable machine learning products
• Build and maintain infrastructure and tooling as a platform for data scientists
• Collaborate with cross-functional teams to integrate ML solutions into production systems
• Monitor and maintain the performance and reliability of ML models post-deployment
• Stay current with the latest advancements in machine learning and related technologies
• Collaborate with clients, support colleagues, contribute to knowledge sharing
  
  

Who you are

We’re Looking For Machine Learning Engineers With At Least 3-4 Years Of Experience And a Proven Track Record Of Delivering Real Results. If You’ve Got The Following, You’re Probably a Great Fit

• A track-record of delivering machine learning models in production
• Cloud experience (e.g. AWS, Google Cloud, Kubernetes)
• Experience with distributed data tools (e.g., Spark, Dask, PySpark, Apache Beam)
• Expertise in Python and modern ML/AI libraries (PyTorch/TensorFlow, Transformers, LangChain, LangGraph, Vertex AI)
• Strong understanding of ML infrastructure: deployment, monitoring, debugging, optimization
• A degree in Computer Science, Engineering, Mathematics, Statistics, or something related
• Based in Sweden - You must have Swedish citizenship, a valid work visa, or permanent residency
• Fluent in English (spoken and written)
  
  

How to applyAre you excited to take your career to the next level and meet the criterias? Apply now, and we'll be in touch shortly. #J-18808-Ljbffr

Nice-to-have skills

• AWS
• Kubernetes
• Machine Learning
• PySpark
• PyTorch
• Python
• Spark
• TensorFlow
• Stockholm County, Sweden
  
  

Work experience

• Machine Learning
  
  

Languages

• English