3 days ago
Remote, United KingdomSenior
Responsibilities
- Build and maintain scalable data pipelines and workflows.
- Develop evaluation frameworks for GenAI and LLM applications.
- Create and maintain golden datasets for model testing.
- Evaluate and benchmark LLM performance.
- Build ML-assisted tools to improve delivery and automation.
- Deploy production-ready AI solutions.
- Work with delivery teams to solve technical challenges.
- Improve data quality, automation, and operational efficiency.
Requirements
- At least 5 years of experience in Data Engineering, Machine Learning, AI Engineering, or Data Science.
- Strong Python and SQL skills.
- Hands-on experience with Generative AI and Large Language Models.
- Experience evaluating LLMs using golden datasets, model benchmarking, or LLM-as-a-Judge techniques.
- Experience building and deploying production-ready ML solutions.
- Strong understanding of data pipelines, validation, and quality frameworks.
- Experience integrating APIs and cloud-based AI services.
- Strong problem-solving, analytical, communication, and stakeholder-management skills.
- Experience owning solutions end-to-end and working in Agile, cross-functional teams.
- Consulting or customer-facing experience is a plus.
Benefits
- People-focused culture with investment in employee development and opportunities to support client results and team growth.
Categories
AI ApplicationsData Engineering
About Ascent
Ascent Global Logistics provides expedited, time-critical transportation and freight management for shippers, spanning domestic brokerage, international freight forwarding, and managed logistics. The company connects customers to a carrier network through its PEAK digital marketplace and also operates its own cargo airline (USA Jet Airlines) for on-demand air charters. Founded in 2017, Ascent is headquartered in Belleville, Michigan and is privately held by H.I.G. Capital.