Information TechnologyFull-TimeSenior-level(6+ yrs)
Job Description
Bridge Talent Management is seeking a Machine Learning Engineer to design and build machine learning models and pipelines. The successful candidate will implement MLOps pipelines using tools like Kubeflow, MLflow, or Airflow and scale AI infrastructure across hybrid environments. You will lead and contribute to client-facing AI/ML solutions for enterprise and government projects, ensuring security, compliance, and scalability for high-value contracts. Additionally, the role involves contributing to proprietary intellectual property and driving innovation by staying ahead of emerging AI trends.
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 and 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).
