AI/ML Engineer - 19358

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