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7 days ago
This is a senior-level position for an experienced machine learning engineer to develop and implement AI/ML models using Python and relevant libraries. The ideal candidate will have at least 5 years of experience in AI/ML and software development, with a strong proficiency in Python and API development (REST, GraphQL).
The candidate should have a deep understanding of classic ML concepts: model selection, evaluation, hyperparameter tuning, bias mitigation, and interpretability.
Experience with MLOps and CI/CD pipelines (AWS CodePipeline, GitHub Actions, Azure DevOps) is also required.
Familiarity with AI/ML frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers is necessary.
The candidate should be able to design and maintain data pipelines using AWS Glue, Data Factory, Databricks, or similar tools.
Develop and implement AI/ML models using Python and relevant libraries.
Design and maintain data pipelines using AWS Glue, Data Factory, Databricks, or similar tools.
Collaborate with cross-functional teams to integrate AI/ML solutions into production environments.
Stay up-to-date with industry trends and advancements in AI/ML and software development.
At least 5 years of experience in AI/ML and software development.
Strong proficiency in Python and API development (REST, GraphQL).
Deep understanding of classic ML concepts: model selection, evaluation, hyperparameter tuning, bias mitigation, and interpretability.
Experience with MLOps and CI/CD pipelines (AWS CodePipeline, GitHub Actions, Azure DevOps).
Familiarity with AI/ML frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
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