Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is hybrid, requiring some office presence as remote work is not offered.
Key skills include designing and optimizing machine learning algorithms, using programming languages like Python and Java, and expertise in deep learning frameworks such as TensorFlow or PyTorch. Additional requirements involve managing large datasets, training and evaluating models, and working with cross-functional teams.
This is a full-time hybrid role in the Engineering department where you'll work closely with cross-functional teams including data scientists, software engineers, and domain experts.
Strong candidates should demonstrate experience in designing ML algorithms, handling large datasets, proficiency in Python/Java and frameworks like TensorFlow/PyTorch, plus the ability to collaborate cross-functionally and stay updated on AI advancements.
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