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    Machine Learning Architect - Dallas, United States - Apolis

    Apolis
    Apolis Dallas, United States

    1 week ago

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    Description

    Responsibilities:


    • Design and develop the architecture for Client platforms and solutions.


    • Select and implement appropriate Client algorithms and tools based on business requirements and data characteristics.


    • Collaborate with data scientists, data engineers, and software engineers to ensure the successful integration of Client models into production systems.


    • Oversee data pipelines and ensure data quality for training and deploying Client models.


    • Monitor and evaluate the performance of Client models, identifying opportunities for improvement and retraining.


    • Stay up-to-date on the latest advancements in Client research and best practices.


    • Develop and implement strategies for managing model bias and ensuring the ethical use of AI.


    • Communicate complex technical concepts to both technical and non-technical stakeholders.


    • Mentor and guide junior team members on Client architecture best practices.

    Qualifications:


    • Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).


    • Strong understanding of machine learning concepts, algorithms, and frameworks.


    • Experience designing and developing scalable, distributed systems.


    • Experience with cloud platforms (AWS, Azure, GCP) is a plus.


    • Excellent communication and collaboration skills.


    • Proven ability to translate business goals into technical requirements.


    • Experience working in an Agile development environment is a plus.

    Tools and Technologies (possible, depending on the company):


    • Python (Scikit-learn, TensorFlow, PyTorch)


    • Machine Learning Platforms (AWS SageMaker, Azure Machine Learning, Google AI Platform)


    • Cloud Computing Technologies (AWS, Azure, GCP)


    • Docker, Kubernetes


    • DevOps Tools (Git, Jenkins, CI/CD pipelines).

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