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ML Platform Engineer 18254

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Veritaz AB · — · Org.nr verifierat · publicerad 19 jun 2026 · sista ansökningsdag 19 jul 2026

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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