Machine Learning Engineer Job at Richard, Wayne & Roberts, Arlington, VA

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  • Richard, Wayne & Roberts
  • Arlington, VA

Job Description

NOTE: This role is on-site 5 days a week in Arlington, Virginia. We are unable to sponsor, but can work with existing H1 (with certain conditions) & i140 approved. Sorry, no C2C.

Our client, a leading company in the Oil & Gas sector, is seeking a Machine Learning Engineer to develop and deploy AI-driven solutions. This role will focus on machine learning, deep learning, generative AI, and optimization algorithms while building scalable model pipelines in Databricks and PySpark.

Key Responsibilities:

  • Define project requirements with business stakeholders.
  • Build and optimize model serving pipelines for scalability and performance.
  • Improve model accuracy through feature engineering and tuning.
  • Integrate machine learning models into production environments.
  • Evaluate and implement pretrained models and vendor solutions.
  • Develop project plans, including solution architecture and resourcing.
  • Collaborate with data scientists, engineers, and analysts to translate business needs into ML solutions.

Qualifications:

  • 5+ years of experience in machine learning, software engineering, or data science.
  • Bachelor’s degree in a quantitative field.
  • Experience with cloud platforms (Azure, AWS) and secure data pipelines.
  • Proficiency in SQL, Python, Scala , and machine learning frameworks.
  • Strong expertise in feature engineering, model optimization, and tuning.

Preferred Skills:

  • Master’s degree in a related field.
  • Experience with Databricks, CI/CD, data lakes, Unity Catalog, and Git .
  • Background in streaming data and cloud-based ML solutions.

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