Artificial Intelligence Engineer

5 days ago


Houston, Texas, United States Snaphunt Full time

About the Job

We are seeking a highly skilled Artificial Intelligence Engineer to join our team at Snaphunt. The ideal candidate will have a strong background in machine learning and data analysis, with experience in developing and deploying AI models.

About Us

Our client is a progressive prop trading firm and trading education provider based in London. We offer a dynamic and fast-paced work environment with opportunities for growth and development.

Job Description

  • Develop scripts to process structured and unstructured data.
  • Recommend, develop, and implement ways to improve data reliability, efficiency, and quality.
  • Support translation of data business needs into technical system requirements.
  • Work with stakeholders to understand needs regarding data structure, availability, scalability, and accessibility.
  • Define, develop, and maintain reports to support decision making.
  • Process and interpret data to get actionable insights.
  • Work closely with business users to understand their data analysis needs/requirements.
  • Develop high-quality code to build and deploy machine learning models.
  • Identify trends, do follow-up analysis, prepare visualizations.

Requirements

  • Hold a degree in Computer Science, Applied Mathematics, Engineering, or related field.
  • Have at least 3 years' experience, ideally within a Data Analyst or Data Engineer role.
  • Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
  • Good presentation and communication skills and the ability to present findings clearly and accessibly in the form of reports and presentations to senior colleagues.
  • Working knowledge of Artificial intelligence.
  • Highly goal-driven and work well in fast-paced environments.
  • Strong analytical skills and comfortable dealing with numerical data.

Benefits

  • An estimated salary of £80,000 - £100,000 per annum, depending on experience.
  • Flexible working options.
  • A dynamic and collaborative work environment.


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