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Tech Stack
Tools & technologiesPandasPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata pipelinesdata transformationdata quality checksvalidation frameworksML toolssynthetic datasetsML solutionsAPIs
Soft Skills
problem-solvingcollaborationcommunicationimplementationdeliverycross-functional teamwork