Senior Applied AI Engineer

Posted 2hrs ago

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Job Description

Senior Applied AI Engineer at Acuity Analytics responsible for building data pipelines and ML solutions. Collaborating closely with cross-functional teams to improve operational efficiency and delivery outcomes.

Responsibilities:

  • Build and maintain scalable data pipelines and transformation workflows
  • Implement data quality checks, validation frameworks, and monitoring systems
  • Design and operationalize evaluation frameworks for datasets and ML outputs
  • Package and deliver production-ready datasets with clear documentation and QA standards
  • Develop ML-assisted tools and workflows to improve data processing and delivery efficiency
  • Generate, augment, and validate synthetic datasets to support client and internal use cases
  • Deploy lightweight ML/LLM-powered solutions to solve operational bottlenecks
  • Work directly with delivery teams to implement and maintain production workflows
  • Debug, troubleshoot, and resolve technical issues across data pipelines and systems
  • Continuously improve tooling, processes, and measurement approaches used in delivery
  • Identify and implement practical improvements that increase speed, reliability, and quality of delivery outcomes

Requirements:

  • 5+ years in data science, data engineering, or ML engineering roles
  • Strong proficiency in Python and SQL
  • Hands-on experience with data tooling (pandas, Plotly, Streamlit, Dash)
  • Practical experience working with LLMs and deploying ML solutions in production environments
  • Experience integrating and working with APIs and technical systems
  • Strong problem-solving skills with a bias toward implementation and delivery
  • Excellent collaboration and communication skills in cross-functional teams

Benefits:

  • Flexible working hours
  • Professional development opportunities