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Job Description & How to Apply Below
Location: Dresden
Step into a pivotal role at Reflow as an ML Engineer, where you'll develop machine learning models to transform how teams work. Your expertise in Python and model training will drive our workflow intelligence platform forward.
In this role, you will be tasked with training, fine-tuning, and evaluating machine learning models based on real behavioral data. You will build predictive models that assist in workflow optimization and productivity forecasting. Collaborating with other teams will ensure the seamless production of these models.
Key Responsibilities:
• Evaluate and train machine learning models on workflow data
• Develop models for task outcomes and productivity trends
• Fine-tune large and domain-specific models
• Maintain feature pipelines and evaluation frameworks
• Monitor model performance using feedback loops
Requirements:
• Strong skills in Python and applied machine learning
• Experience in training both supervised and self-supervised models
• Hands-on capabilities in fine-tuning and deploying models
• Experience managing data from raw to production
• A curiosity-driven approach with a focus on effective results
Bring your machine learning talent to Reflow and influence the future of work efficiency.
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