Arbetsbeskrivning

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