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    AI ML Engineer - Birmingham, United States - MAU Workforce Solutions

    MAU Workforce Solutions
    MAU Workforce Solutions Birmingham, United States

    3 weeks ago

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    Description
    Expand your professional career as a AI/ML Research Engineer. Our client is a cutting-edge technology company committed to leveraging artificial intelligence and machine learning to drive innovation and informed decision-making. We are seeking an experienced AI/ML Research Engineer to join our dynamic team.

    REQUIREMENTS
    • Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree is a plus
    • Proven experience in AI and ML, demonstrating a track record of successfully applying predictive analytics techniques to real-world problems
    • Familiarity with Azure AI is advantageous but not mandatory Experience with Azure Machine Learning Operations (MLOps) is a plus
    • Proficient in Python, and experience with popular ML frameworks like TensorFlow or PyTorch is desirable
    • Solid experience in working with AI and ML, with a focus on predictive analytics and utilizing various machine learning or artificial intelligence models
    • Familiarity with MLOps, and experience in incorporating it into the AI/ML workflow is a plus
    • Knowledge of Azure AI is advantageous, especially experience with Azure Machine Learning Operations (MLOps)
    • Proficiency in Python is essential, and experience with popular frameworks such as TensorFlow or PyTorch is a strong plus
    • Passion for leveraging AI and ML to unlock insights from data
    • Strong analytical and problem-solving skills
    • Excellent communication and collaboration abilities
    • Ability to adapt to evolving technologies and industry best practices
    RESPONSIBILITIES
    • Utilize AI and ML models to analyze and interpret complex datasets, enabling the company to make data-driven decisions and enhance predictive analytics
    • Work collaboratively with cross-functional teams to implement AI and ML solutions that improve data understanding and decision-making processes
    • Employ predictive analytics techniques to enhance the company's ability to forecast and respond to evolving trends
    • Explore and implement state-of-the-art machine learning algorithms to extract meaningful insights from diverse datasets
    • Collaborate with data scientists, engineers, and other stakeholders to design, develop, and deploy machine learning models
    • Perform other tasks as assigned
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