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
• Experience leading technical initiatives and influencing technical direction within teams or product organizations
• Strong communication skills with ability to explain technical decisions and trade-offs clearly
• Experience working with distributed systems and backend technologies