Title: Machine Learning Engineer with Python
Location Phoenix AZ (Onsite Day 1) Hybrid
Responsibilities:
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Develop and deploy machine learning models for predictive analytics and datadriven insights.
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Collaborate with data scientists and software engineers to integrate machine learning solutions into applications.
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Preprocess and analyze large datasets to extract meaningful patterns and features.
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Evaluate and optimize model performance using techniques such as crossvalidation and hyperparameter tuning.
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Stay updated on advancements in machine learning algorithms and technologies.
Qualifications:
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Proficiency in Python and machine learning libraries (e.g. TensorFlow PyTorch scikitlearn).
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Experience with data preprocessing and feature engineering techniques.
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Strong understanding of machine learning algorithms and statistical concepts.
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Experience with cloud platforms and services for ML model deployment (e.g. AWS SageMaker Google Cloud AI Platform).