MetroStar

Senior AI/ML Engineer

MetroStar

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $138,000 - $184,000 per year

Job Level

About the role

  • Design, develop, implement, and fine-tune AI and machine learning models to support web-based applications in secure environments with evolving use cases.
  • Build and maintain data pipelines, training workflows, and experimentation environments to enable rapid model iteration and evaluation.
  • Evaluate model performance using quantitative and qualitative metrics (e.g., accuracy, robustness, stability, efficiency, generalization) and translate results into actionable improvements.
  • Analyze data, model outputs, and experimental results to recommend changes to algorithms, features, data sources, or system architecture.
  • Proactively identify and assess tools, frameworks, and technologies that best support platform goals, balancing performance, scalability, and maintainability.
  • Collaborate closely with software developers, data engineers, DevSecOps teams, and stakeholders to integrate AI capabilities into production systems.
  • Ensure AI and data science solutions are transparent, testable, and maintainable to support long-term operational use.
  • Communicate technical approaches, assumptions, tradeoffs, and results clearly to both technical and non-technical audiences, including during design reviews and demonstrations.

Requirements

  • An Active Secret security clearance
  • Bachelor's degree in Computer Science, Engineering, Data Science or related technical discipline.
  • 4+ years of experience building and managing ETL and ELT data pipelines within Databricks environment
  • Hands-on experience with Python and SQL and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Experience deploying models on cloud platforms (such as AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
  • Experience managing model deployment and monitoring (MLOps, MLflow, Kubeflow, etc.)
  • Knowledge of data modeling, neural network architectures, and software development and CI/CD best practices
  • Must be willing/able to travel to customer, as needed
Benefits
  • Health, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off (PTO) and holidays
  • Parental Leave and dependent care
  • Flexible work arrangements
  • Professional development opportunities
  • Employee assistance and wellness programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI modelsmachine learning modelsdata pipelinesETLELTPythonSQLTensorFlowPyTorchScikit-learn
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinking
Certifications
Active Secret security clearance