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