Senior Applied AI Engineer

• 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

• 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
• Improve automation and repeatability across data workflows

• 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

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

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