Applied ML Engineer 17835

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 currently looking for a Senior Machine Learning Engineer What You Will Work On Design, develop, and deploy production-grade machine learning systems at scale Build ML-driven solutions for content moderation and policy enforcement Drive migration initiatives toward modern model-based architectures Develop evaluation frameworks including datasets, offline and online metrics, and experimentation pipelines Improve model performance, reliability, robustness, and fairness Build continuous learning and improvement processes for ML systems Balance business requirements with scalability, performance, and operational quality Contribute to architecture and platform decisions for ML infrastructure Collaborate closely with legal, policy, product, and engineering stakeholders Present technical decisions, trade-offs, and recommendations to diverse audiences Provide technical leadership and influence ML strategy and priorities across teams What You Bring Strong experience building and deploying production machine learning systems using Python Hands-on experience training, evaluating, and maintaining ML models using modern frameworks such as PyTorch Deep understanding of machine learning evaluation methodologies, including: Dataset design Metric definition and management Continuous improvement and feedback systems Experience building systems where performance, reliability, and business-critical requirements must be balanced Strong interest in developing safe, responsible, and user-focused AI solutions Ability to collaborate effectively across legal, policy, product, and engineering stakeholders