Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Data Scientist (Enterprise AI) to collaborate with domain experts and client teams on enterprise AI workflows. The role involves enhancing system reliability, designing datasets, and producing analyses of system performance for stakeholders.
Responsibilities
- Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams
- Surface, formalize, and prioritize system failure modes in real-world deployments to enhance system reliability
- Design high-signal datasets and evaluation protocols to target identified weaknesses in AI systems
- Run tight experimental loops to validate hypotheses and quantify improvements in system performance
- Produce clear, decision-oriented analyses of system behavior and performance for stakeholders
- Develop and benchmark agentic workflows, focusing on robustness and scalability to meet enterprise needs
Skills
- Have a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
- Possess strong judgment for research signal quality, including data selection and evaluation design
- Have experience designing datasets and evaluation frameworks for machine learning systems
- Demonstrate the ability to translate ambiguous operational issues into structured research problems
- Be familiar with reinforcement learning environments and/or agentic system evaluation
Company Overview
Crossing Hurdles connects skilled professionals with opportunities across AI training platforms and high-growth companies. It was founded in 2019, and is headquartered in Gurgaon, Haryana, IND, with a workforce of 11-50 employees. Its website is https://www.crossinghurdles.com.