Senior Data Science and ML Ops Engineer

IDR

  • Franklin, TENNESSEE
  • 1 day ago
  • Remote

    Highlights

    The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. This role involves designing, deploying, and operationalizing machine learning solutions within a fast-paced, cloud-based data platform environment, primarily leveraging AWS technologies.

    Numbers & Facts

    LocationFranklin, TENNESSEE (
    Remote
    )

    Description

    IDR is seeking a Senior Data Science and ML Ops Engineer to join one of our top clients for a Remote opportunity. This role involves designing, deploying, and operationalizing machine learning solutions within a fast-paced, cloud-based data platform environment, primarily leveraging AWS technologies. The focus is on partnering with business and technology teams to develop scalable, reliable ML solutions that support strategic decision-making and operational excellence.

    NO C2C

    Position Overview for the Senior Data Science and ML Ops Engineer:

    • Partner with business leaders and data teams to identify opportunities for data-driven ML solutions that improve decision-making and efficiency.
    • Design, test, and deploy scalable machine learning models using proven algorithms and AWS services such as SageMaker, Glue, and S3.
    • Own the full model lifecycle, from hypothesis formulation, experimentation, and validation through production deployment, monitoring, and iterative improvement.
    • Build and operate data lake architectures, ensuring data governance, quality, and security using AWS Lake Formation, Glue Catalog, and IAM.
    • Implement infrastructure as code and CI/CD practices for reliable, repeatable, and cost-effective platform management.

    Requirements for the Senior Data Science and ML Ops Engineer:

    • 5+ years of experience in a professional data science role with extensive hands-on experience in ML pipelines.
    • Proven ability to build end-to-end ML solutions, including data preprocessing, model training, deployment, and monitoring.
    • Strong knowledge of AWS cloud ecosystem, especially SageMaker, Glue, S3, CloudWatch, and related services.
    • Experience with data governance, lake formation, and large-scale data architecture.
    • Hands-on experience with CI/CD workflows, version control, and operational monitoring of ML models and data pipelines.

    What's in it for you?

    • Competitive compensation package
    • Full Benefits; Medical, Vision, Dental, and more!
    • Opportunity to get in with an industry leading organization.

    Why IDR?

    • 25+ Years of Proven Industry Experience in 4 major markets
    • Employee Stock Ownership Program
    • Dedicated Engagement Manager who is committed to you and your success.
    • Medical, Dental, Vision, and Life Insurance
    • ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.
    #LI-REMOTE All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.

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