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  • Posted: Feb 10, 2026
    Deadline: Not specified
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    Machine Learning Engineer

    Key Responsibilities:

    • Design and build machine learning models and pipelines.
    • Implement MLOps pipelines using tools like Kubeflow, MLflow, or Airflow.
    • Scale AI infrastructure and integrate models with hybrid environments (on-prem GPUs + cloud providers like AWS, Azure, etc.)
    • Lead and contribute to client-facing AI/ML solutions for enterprise and government projects.
    • Ensure security, compliance, and scalability for multi-million-dollar contracts
    • Contribute to the development of proprietary AI/ML intellectual property.
    • Drive innovation and stay ahead of emerging AI trends

    Requirements

    Qualifications:

    • Bachelor’s degree in Computer Science, Data Science, AI, or a related field
    • Master's/PhD preferred in Machine Learning or a related discipline
    • 5+ years in machine learning engineering with hands-on experience building production ML systems
    • Expertise in ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure, GCP)
    • Experience in MLOps practices, CI/CD for ML, and containerization (Docker, Kubernetes)

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Bridge Talent Management on bridgetalentgroup.zohorecruit.com to apply

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