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
