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Data Engineer / Data Scientist – MLOps & Machine Learning

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Beacon Hill

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Location:
United States , Charlotte

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

70.00 USD / Hour
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Job Responsibility:

  • Design, build, and support scalable machine learning and data workflows in cloud environments
  • Develop and maintain MLOps pipelines using Databricks and MLflow
  • Track, manage, and deploy machine learning models across environments
  • Work closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutions
  • Analyze large datasets and apply machine learning techniques to solve business problems
  • Support model monitoring, optimization, and continuous improvement initiatives
  • Collaborate on architecture, best practices, and scalable ML engineering standards

Requirements:

  • 5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environments
  • Strong experience building or supporting MLOps workflows in Databricks
  • Hands-on experience with MLflow, including experiment tracking, model registry, and deployment workflows
  • Strong understanding of machine learning fundamentals and model lifecycle management
  • Solid data science foundation with understanding of ML theory, mathematics, and statistical concepts
  • Experience building, training, validating, and deploying machine learning models
  • Ability to explain model selection decisions and ML approaches clearly
  • Strong collaboration and communication skills with the ability to work well across cross-functional teams
  • Strong personality fit and ability to work effectively in team-oriented environments
  • Willingness to work onsite

Additional Information:

Job Posted:
May 19, 2026

Work Type:
On-site work
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