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    Senior Machine Learning Engineer - Atlanta, United States - Stellar Elements, LLC

    Stellar Elements, LLC
    Stellar Elements, LLC Atlanta, United States

    1 week ago

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    Description
    Senior Machine Learning Engineer


    Job Description:
    We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join our Atlanta team.

    As a Senior Machine Learning Engineer, you will be responsible for leveraging data science techniques, statistical modeling, and machine learning algorithms to develop innovative solutions.

    The ideal candidate will have a strong background in data science, proficient in Python programming, and experience with machine learning frameworks.

    Additionally, familiarity with graph databases and neural network modeling is highly desirable.

    Proven machine learning experience with AWS Sagemaker is required.


    Key Responsibilities:

    • Conduct data exploration to gain insights and identify patterns within large datasets.
    • Design and implement data warehousing and aggregation strategies to support machine learning model development.
    • Develop and implement machine learning models using various techniques such as supervised learning, unsupervised learning, and deep learning.
    • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
    • Utilize AWS Sagemaker for model development and deployment.
    • Optimize and fine-tune machine learning models for performance and scalability.
    • Stay updated with the latest advancements in machine learning and data science techniques.

    Skills and Qualifications:

    • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
    • Proven experience in data science, statistical modeling, and Python programming.
    • Strong understanding of machine learning algorithms and techniques.
    • Familiarity with graph databases and neural network modeling is a plus.
    • REQUIRED: Proven machine learning experience with AWS Sagemaker.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills.
    • Ability to work independently and in a team environment.

    Activities:

    Data Exploration:
    Analyzing and visualizing data to gain insights and identify patterns.

    Data Warehousing/Aggregation Design:
    Designing and implementing data storage and aggregation solutions to support machine learning model development.

    Model Development:
    Developing and implementing machine learning models using various techniques to solve business problems.


    If you are passionate about leveraging data science and machine learning to drive innovation, we encourage you to apply for this exciting opportunity.

    Join us in shaping the future of machine learning technologies


    Office location:
    Atlanta, GA


    Work environment:
    Flexible hybrid schedule - 2 to 3 days in office.


    Benefits:
    Medical, Dental, Vision

    Life Insurance

    Short-Term & Long-Term Disability Insurance

    401k


    ESPP
    Vacation without Limits

    Paid Holidays

    Udemy plus training & other learning resources through Amdocs

    #LI-hybrid

    #J-18808-Ljbffr
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