Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
About the role
- Machine Learning Engineer in Workday's AI Platform team developing systems for agent observability and optimization. Solving complex challenges with innovative ML solutions and advanced algorithms in a collaborative environment.
Responsibilities
- Develop algorithms for automated node-level optimization within agent graphs
- Architect Evaluation Pipelines using Kubeflow on the cloud
- Build a Python-native framework for complex metrics
- Implement real-time evaluation and A/B testing frameworks
- Drive the design of metrics warehouse for actionable insights
- Design, build, and deploy sophisticated AI agents
- Own the entire ML lifecycle for high-quality, scalable deployment
Requirements
- 3+ years of professional experience as a Machine Learning Engineer
- Demonstrated experience in building and evaluating AI agents
- Expertise in prompt engineering and optimization
- Proven understanding of statistical analysis and machine learning algorithms
- Solid understanding of A/B testing and experimental design
- Proficiency in modern ML frameworks (e.g. PyTorch, TensorFlow)
- Expert-level Python skills
- Experience with multi-threading and asynchronous call patterns
- Experience designing 'Agent-in-the-loop' systems
- Knowledge of MLOps and cloud services (e.g. AWS, GCP, Azure)
Benefits
- Workday Bonus Plan
- role-specific commission/bonus
- annual refresh stock grants
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.
ML infra engineer tasked with building large - scale infrastructure for generative AI at Adobe. Involves extensive experience in deep learning, PyTorch, and cloud platforms.
Open Source Triage Lead managing GitHub repositories for Ultralytics, contributing to AI development and community support.
Senior Machine Learning Engineer developing predictive solutions for business challenges within healthcare. Leveraging GCP and Vertex AI to bridge data science and engineering.
Software Developer Specialist focusing on ML Infrastructure and Deployment at Verafin. Engaging with analytics teams to develop fraud detection products with DevOps and MLOps principles.
Junior AI/ML Engineer supporting data preprocessing and model evaluation at Node.Digital. Collaborate on AI/Machine Learning efforts with government and commercial clients.
Machine Learning Engineer optimizing multimodal embedding models for AI - driven video analysis at Twelve Labs. Collaborating with global teams to enhance production pipelines and model performance.
Machine Learning Ops Engineer deploying and optimizing ML models at Affinity Water. Collaborating with teams to enhance the reliability of analytics solutions.