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

















