AI/ML Engineer

Key responsibilities

• Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method.
• Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame.
• Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments.
• Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects.
• Ability to manage dependencies in a reliable manner.
• Work in a changing environment and to deliver on time, adhering to budget.