Live opening · Posted 1 day ago

AI Engineer

Kr ELixir · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyKr ELixir
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Role Description This is a part-time remote role for an AI Engineer at Kr Elixir. The AI Engineer will design, implement, and optimize machine learning and deep learning models, with a focus on pattern recognition and neural network architectures. Daily tasks include researching state-of-the-art methods, building and evaluating prototypes, and integrating AI models into production-ready software systems. The role involves applying natural language processing (NLP) techniques, preparing and cleaning data, and conducting experiments to improve model accuracy and efficiency. The AI Engineer will collaborate with other engineers and stakeholders to translate requirements into technical solutions, document approaches, and maintain reproducible code and model pipelines.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
Applied experience with Pattern Recognition and Neural Networks, including training, tuning, and evaluating models.
Hands-on skills in Natural Language Processing (NLP), such as text preprocessing, embeddings, and working with common NLP frameworks.
Proficiency in programming languages commonly used in AI/ML (e.g., Python) and familiarity with libraries such as TensorFlow, PyTorch, or similar.
Ability to design experiments, analyze results, and communicate technical findings clearly in written and verbal form.
Comfort working independently in a remote setting, managing part-time hours effectively, and collaborating asynchronously with a distributed team.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
Experience with cloud platforms, containerization, or MLOps practices is a plus.

Work arrangement
Yes

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