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
If this sounds interesting, please send your CV to cv@veritaz.se
