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ML Engineer

Burtch Works

Salary not specified
Jul 4, 2025
Orlando, FL, US
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A leading national financial services institution is seeking a Machine Learning Engineer to build scalable data solutions and deploy ML models that enhance decision-making across the organization.

Requirements

  • Advanced knowledge of Python and SQL
  • Experience with data visualization tools such as Tableau or Power BI
  • Hands-on experience with ETL/ELT pipeline development
  • Familiarity with ML frameworks like scikit-learn, pandas, NumPy
  • Experience working with cloud-based data platforms (GCP, AWS, Azure)
  • Exposure to MLOps practices including CI/CD pipelines and containerization (Docker, Kubernetes)

Responsibilities

  • Design, build, and deploy production-ready machine learning models that address real business problems and drive operational efficiency.
  • Create and manage robust, scalable data pipelines for ETL/ELT processes using SQL and Python, ensuring high data quality and accessibility.
  • Partner with data scientists, analysts, and business stakeholders to define requirements and translate them into actionable technical deliverables.
  • Create compelling and informative dashboards using tools like Tableau or Power BI to communicate insights and track performance metrics.
  • Monitor, evaluate, and refine deployed models to ensure sustained performance and adapt to changing business needs.

Other

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline (or equivalent experience)
  • 3+ years in a data engineering, machine learning, or data science role
  • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders
  • Must be comfortable working remotely and available during Eastern Time business hours
  • Master’s degree in a relevant field
  • Previous experience in financial services or highly regulated environments