Описание
Machine Learning Engineer
Why Join This Opportunity?
This organization is at the forefront of leveraging data intelligence to influence consumer behavior at the point of purchase. Through advanced AI solutions, they support leading global brands across industries such as Consumer Packaged Goods, Health & Well-Being, Technology, and Retail—helping optimize packaging, enhance engagement, and drive sales.
You'll be joining a fast-paced, highly collaborative AI and engineering team where your work directly contributes to production-grade systems deployed at scale.
What You'll Do
Data Quality & Pipeline
Audit and improve training data pipelines: identify problematic samples, resolve mislabeling, refine train/test splits, and detect data leakage
Build robust, reproducible data workflows
Model Evaluation
Develop and run reproducible evaluation workflows across regions, KPIs, and categories
Create qualitative assessment frameworks that go beyond aggregate metrics
Experimentation
Execute ML experiments including new data splits, augmentation strategies, encoders, and hyperparameter tuning
Apply modern computer vision and multimodal techniques where relevant to real-world problems
Productionization
Integrate validated experiments into production pipelines
Standardize research workflows (e.g., saliency maps, visualization tools) for repeatability
Ensure proper testing, documentation, and deployment without breaking existing systems
Infrastructure
Support ML training i
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