Applied ML Engineer 17835
Veritaz ABPublicerad: 2026-05-21
Ansök senast: 2026-06-20
Beskrivning
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
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
