AI Engineer, Business Solutions Co-Op

Audax GroupBoston, MA
3h$28 - $34Hybrid

About The Position

Audax is looking for a dynamic, motivated AI Engineer Co-Op to join the business solutions team. This position will be responsible for supporting the Director, AI Solutions Architect for Audax Private Equity on AI initiatives with hands-on experience in AI development and AI governance. This position will coordinate with adjacent data teams to help create data pipelines, ensure input, quality and integrity, and validate AI application outputs.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Data Engineering, Data Analytics, Computational Engineering, Computer Science or another related field.
  • Experience with at least two of the following required: traditional machine learning, natural language processing, transfer learning/fine-tuning, predictive analytics, agentic frameworks, AI output evaluation, and data engineering.
  • Experience with Python, SQL, and Git.
  • Experience with Microsoft Azure cloud environment including GitHub and with Microsoft Office suite.
  • Experience with OpenAI (SDKs, tools, CustomGPTs).
  • Strong written and oral communication skills as well as critical thinking skills required to operate in an efficient and meaningful way with all levels of the organization.

Nice To Haves

  • Experience with Snowflake is a plus.
  • Previous Co-Op or full-time experience in related field is a plus.

Responsibilities

  • Assist with designing, implementing, maintaining, and scaling Audax’s AI ecosystem.
  • Coordinate with internal IT professionals to scale AI infrastructure within the company’s cloud enterprise.
  • Play an integral role in proof-of-concept development for different function area use cases within the firm.
  • Assist with implementation of AI governance policies; this includes security, documentation, and privacy.
  • Provide data validation and data quality assessments through coordination with the firm’s internal data engineers.
  • Code within an IDE environment (VS Code) with Python, SQL, and Git.
  • Utilize cloud environment services to assist with AI application development and deployment.
  • Understanding and experimenting with modern AI architectures for experimentation and use case development.
  • Support coordination across different firm function areas for information gathering, updates, and user testing.
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