Machine Learning /MLOps Engineer

Gears of Leo AB; Stockholms kommun; Hybrid; SEK 800,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work policy

4 weeks of Workation

30 annual vacation days

Occupational Pension

5,000 SEK wellness contribution

Parental Leave Top-Up

Private health care insurance option

1,500 SEK equipment allowance

Benify - benefits portal

Job summary

A tech company in the MLOps space is seeking a Machine Learning Engineer to bolster their ML infrastructure. This mid-senior role involves designing and maintaining scalable MLOps pipelines, building cloud infrastructure for real-time models, and working closely with data scientists on production readiness. Key skills required include proficiency in Python, cloud platforms like GCP, and experience with CI/CD pipelines. Attractive perks include hybrid work, 30 vacation days, and wellness contributions.

Qualifications

• Mid-senior level experience in Machine Learning Engineer or similar role.
• Strong proficiency in Python for data and ML workflows.
• Extensive experience with GCP for building ML systems.
• Deep understanding of containerization and CI/CD.
• Solid experience with ML experiment tracking.
• Experience working with high volume, complex data architectures and real-time processing.
• Experience with SQL for data access and pipeline integration.
• A strong foundation in computer science fundamentals, software engineering best practices, and system design.
• Continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges.

Responsibilities

• Design scalable MLOps pipelines for model lifecycle.
• Build and manage cloud infrastructure for ML models.
• Establish model monitoring and alerting systems.
• Collaborate with Data Scientists on production readiness.
• Develop reusable MLOps tooling and best practices.
• Driving automation initiatives to minimize manual intervention in model deployment and management.
• Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems.

Skills

Python

CI/CD pipelines

Cloud platforms (GCP)

Containerization technologies

SQL

CI/CD

Tools

Terraform

Vertex AI

Kubernetes

GCP/Vertex AI

MLflow/Model registry

Job description

ABOUT THE ROLE

The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale.

YOU WILL BE RESPONSIBLE FOR

• Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring.


• Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models.


• Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services.


• Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance.


• Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle.


• Driving automation initiatives to minimize manual intervention in model deployment and management.


• Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems.

OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING

Essentials

• Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role.


• Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning.


• Extensive experience with cloud platforms (we work with GCP) for building and deploying ML systems.


• Deep understanding of containerization technologies and CI/CD pipelines.


• Solid experience with ML experiment tracking, model registry, and feature store platforms.


• Experience working with high volume, complex data architectures and real-time processing.


• Experience with SQL for data access and pipeline integration.


• A strong foundation in computer science fundamentals, software engineering best practices, and system design.


• Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges.

Nice To Have

• Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models.


• Familiarity with building and deploying LLMs in production environments at scale.

WHO WE ARE

At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We're a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide.

BENEFITS

• Hybrid work policy


• 4 weeks of Workation (T&C apply)


• 30 annual vacation days


• Occupational Pension


• 5,000 SEK wellness contribution annually


• Parental Leave Top-Up


• Possibility to enrol in a private health care insurance for both you and your partner


• 1,500 SEK equipment allowance


• Benify - benefits portal with many offers and discounts

In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don't wait for things to happen; we pounce and make it happen!

Would you be a good fit for the Leo Pride - give us a roar!

As our company working language is English, we'd like to see your CV in English, please.