ML Platform Engineer 18254 - Ledigt jobb hos Veritaz AB

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 ML Platform Engineer for a short-term assignment

What You Will Work On

• Design, develop, and optimize machine learning models and pipelines
• Build and maintain end-to-end ML workflows, including data preparation, training, evaluation, and deployment
• Improve encoder-based models through increased model capacity and higher input resolution
• Develop multi-class classification solutions for complex attribute prediction tasks
• Build and optimize data pipelines supporting machine learning workflows
• Train, evaluate, and monitor machine learning models in production environments
• Develop ranking and confidence models based on existing AI outputs
• Implement curriculum learning and automated training-data scheduling strategies
• Optimize model inference performance and portability across platforms
• Develop tooling for model serving, monitoring, and result visualization
• Collaborate with software engineers and researchers on AI platform development
• Contribute to scalable and maintainable ML infrastructure

What You Bring

• Strong Python development and Machine Learning engineering experience
• Experience across the full ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring
• Experience working with encoder architectures, autoregressive models, or self-supervised learning approaches
• Knowledge of modern machine learning frameworks and model development practices
• Experience building scalable and production-ready AI solutions
• Strong understanding of data processing, feature engineering, and model evaluation
• Experience developing and optimizing ML inference workflows
• Ability to work across both backend systems and lightweight frontend applications
• Strong analytical, problem-solving, and communication skills
• Experience collaborating in multidisciplinary engineering environments