Senior AI/ML Engineer - REMOTE

Jobgether
1dRemote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/ML Engineer. In this role, you'll have the opportunity to design, build, and deploy advanced machine learning solutions that support critical defense and national security missions. As a hands-on engineer, you will thrive in coding and take pride in creating end-to-end pipelines, with your work having a direct impact on operational systems. Your contributions will help solve complex challenges by integrating cutting-edge technology with necessary processes, ensuring that our solutions meet mission objectives.

Requirements

  • Must be a U.S. citizen with the ability to obtain and maintain a security clearance.
  • 6-10+ years of professional experience in AI/ML solutions development.
  • Experience with Department of Defense (DoD) AI assurance and deployment environments.
  • Strong Python skills with experience in developing AI/ML applications.
  • Direct experience with machine learning frameworks like PyTorch and TensorFlow.
  • Proven ability to build and deploy MLOps pipelines.
  • Knowledge of vector databases and retrieval-based architectures.
  • Experience with fine-tuning and evaluating language models.
  • Experience integrating AI capabilities into production systems.

Responsibilities

  • Design, develop, and deploy AI/ML models and pipelines that align with mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face.
  • Develop and operationalize MLOps pipelines using tools like MLflow, Kubeflow, or DVC.
  • Implement and optimize vector databases and retrieval architectures.
  • Write clean, efficient Python code for data ingestion and model inference.
  • Experiment with fine-tuning and optimization of language models.
  • Contribute to agent-based applications using modern AI frameworks.
  • Integrate AI services into production systems and workflows.
  • Collaborate with cross-functional teams to ensure models are production-ready.
  • Participate in peer reviews and document work for reproducibility.

Benefits

  • Opportunity to work on mission-critical projects.
  • Collaborative and innovative remote work environment.
  • Professional development and training opportunities.
  • Flexible work hours conducive to work-life balance.
  • Competitive salary and benefits package.
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