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Robert Half Machine Learning Engineer in Wilmington, Delaware


Are you a Software Engineer looking to grow your career? Robert Half is looking for candidates to join a highly focused, motivated team. Responsible for designing, developing and managing the platform and framework that facilitate automated data-driven decision-making. This team member collaborates with data scientists to design tools to source data from across the enterprise and deploys machine learning services at various decision points across the business process. Projects and work undertaken are of moderate to high complexity; may involve a single or multiple business lines; may also support Senior Machine Learning Engineers on larger projects concurrently.

What you get to do every single day

  • Develop a strong acumen of the ACA business; write ETL processes to acquire data for model development, as well as, design data pipelines and tools for real time and batch processing in a production system.

  • Develop automated processes that help consolidation of large, structured/unstructured data from variety of different sources across the organization.

  • Develop services that host the trained models and work with other application teams to integrate them into business processes.

  • Build tools for monitoring the performance of machine learning applications and develop the necessary failsafe procedures that ensure the delivery of the most optimal decisions.

  • Build interfaces that allow interaction with machine learning models, visualization of model metrics and collection of feedback in a production system.

  • Develop strong partnership with data scientists; participate in code reviews to ensure code quality and share best practices and experiences with the team.

  • Participate in activities like standardization of product development process, solution deployment, managing common codebase repositories, development of model risk & governance guidelines.

  • Evaluate new technologies, platform and data that will help improve analytical processes.

  • Improve own, as well as, organization’s knowledge of emerging technologies, frameworks, and trends in AI and machine learning.

  • May provide limited mentoring to junior machine learning engineers.


  • Strong knowledge of relational database management systems

    • Experience with web application frameworks
  • Experience with API design

  • Foundational knowledge in Business Acumen

  • General familiarity with Emerging Technology

  • Proven knowledge of Microsoft Degree

  • Solid understanding of Machine Learning Models

  • Wide ranging experience with Data Visualization

  • Database Platform experience

  • Well-founded grasp of University Degree

  • Practical knowledge of Emerging Trends

  • Quality experience with Build Tools

  • Cross-Platform experience required

  • Data modeling experience highly desired

Master’s degree in Computer Science, Engineering, Data Science, Analytics, Applied Math, Operations Research, or related analytical field. PhD preferred. Undergraduate degree in a quantitative field with equivalent

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