AI/ML Engineer - 19358

Sweden | Sept. 8, 2026

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Company: Veritaz AB

Country: Sweden

Type: Onsite

Employment: Contract

Description: Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for a technically strong Senior AI Engineer / Machine Learning Engineer

What You Will Work On

    Design and develop production-grade AI and ML solutions
    Build and operate AI-powered applications and platforms
    Translate business and analytical requirements into scalable production solutions
    Work with Python for AI/ML and software engineering
    Implement MLOps and LLMOps practices
    Build CI/CD pipelines, automation, monitoring and observability
    Develop and manage solutions on Google Cloud Platform (GCP)
    Manage cloud infrastructure using Infrastructure as Code (IaC) and Terraform
    Work with Docker and Kubernetes
    Transform Data Science prototypes and models into production-ready solutions
    Develop scalable and maintainable cloud-native applications
    Collaborate with Data Scientists, Data Engineers, Product Owners and business stakeholders
    Contribute to AI tooling, platforms and infrastructure supporting AI products at scale
    Support secure, reliable and governed AI solutions in production

What You Bring

    Master's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, Physics or related field
    Strong software engineering background
    Excellent Python programming skills
    Proven experience designing, developing, deploying and operating production-grade AI solutions
    Strong understanding of software architecture and distributed systems
    Experience with cloud-native application development
    Experience with MLOps and/or LLMOps
    Knowledge of CI/CD, version control, automation, monitoring and observability
    Hands-on experience with Google Cloud Platform (GCP)
    Experience with Infrastructure as Code, preferably Terraform
    Hands-on experience with Docker and Kubernetes
    Ability to turn AI/ML prototypes into production-ready applications
    Strong problem-solving and engineering judgment
    Ability to independently drive initiatives from concept through production
    Strong collaboration and communication skills
    Pragmatic, hands-on and delivery-focused mindset

Apply here:

Web: Apply here

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