Machine Learning Engineer

Avigna is hiring a Machine Learning Engineer.

Our IT Delivery Center aims to build strong and sustainable solutions for customers across Europe. We are looking for a Machine Learning Engineer to join the team to build, support, and drive customer innovations, bringing efficiency to the processes through efficient management of cost and schedule. In alignment with Avigna’s values, we are committed to providing an inclusive work environment for all employees to positively impact our culture every day.

📢Location: Stockholm

Experience: 6+ years

✅ Required Skills

☁️ GCP & Cloud

• Vertex AI / Kubeflow Pipelines
• BigQuery, SQL
• Cloud Composer / Airflow
• IAM, Service Accounts
• Data Catalog
• Infrastructure as Code
• (Bonus) Dataflow, Kubernetes
  
  

🐍 Python Development

• OOP, clean coding practices
• Tools: flake8, mypy, black, SonarQube, pre-commit
• Testing: Pytest, fixtures, unittest
  
  

🖥️ Unix & Shell

• Unix systems familiarity
• Shell scripting
• Docker installation
  
  

🔧 DevOps & CI/CD

• Git: PR creation, conflict resolution
• CI/CD pipelines via GitHub Actions
• Deep understanding of Docker
  
  

📊 Data Engineering

• DBT (preferably on GCP)
• Advanced SQL
• Data modeling & system design
  
  

🔹 Soft Skills

• Proactive and solution-oriented mindset
• Strong communication with stakeholders and tech teams
• Passion for code reviews and constructive feedback
• Resourceful problem-solving (e.g., effective Googling)
  
  

🔹 Preferred Experience

• High-availability APIs
• ML-based recommendation and personalization systems
  
  

🔹 Certification Requirement

• GCP Professional Machine Learning Engineer
  
  

Benefits

Competitive Salary

Pension, Health, Occupation injury, and sick insurances

Other Company Benefits

AVIGNA holds Service authorization for SAP S/4 HANA and SAP Business All in one.

We have received an SAP Recognized Expertise designation for SAP® S/4HANA. We have consultants serving various customers using SAP and non-SAP products. Our Consulting experience spans across Telecom, Retail, Electrical, Paper, and Social Service Industries.