Job Description :
Function : Data Science and Analysis ? Data Science / Machine Learning
Machine LearningLLMsNLPGenerative AIPrompt :
- You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard.
- You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable.
- You elevate the organization's ML practice by embedding sound statistical and scientific methodology into product and engineering work.
- You are recognized as a thought leader who sets strategy while still contributing technically in depth.
Requirements :
Education : Master's degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field.
Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design).Demonstrated experience in end-to-end ML lifecycle : dataset preparation, model training, evaluation, deployment, and monitoring.Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them.Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines.Track record of strategic impact at a staff or principal level, setting evaluation and research standards across teams.Even better if you have :
Publications, open-source contributions, or widely adopted benchmarks in ML / AI.Prior experience shaping AI evaluation frameworks at an organizational or industry level.Comfort working at the interface of science, engineering, and product.(ref : hirist.tech)