AI Data Scientist

Location: Remote in Canada; hybrid in Houston, Texas, United States. Limited travel to other hirify.global offices may be requested.

Company

hirify.global provides commercial operations software that unifies pricing, quoting, contracting, rebates, and communications for more than 10,000 customers worldwide.

What you will do

• Research and evaluate NLP, machine learning, deep learning, and Generative AI techniques for product and business problems.
• Design and build NLP, transformer-based, statistical ML, and deep learning solutions using structured and unstructured data.
• Develop LLM and GenAI applications with prompting, RAG, embeddings, vector search, fine-tuning, agents, and structured generation.
• Create experiments, benchmarks, evaluation datasets, and statistical methodologies for measuring model quality.
• Deploy, monitor, and optimize AI solutions in production in partnership with Engineering and Product teams.
• Provide technical guidance and mentorship in NLP, ML, experimentation, and Generative AI.

Requirements

• Master’s degree in a quantitative field such as Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, or Engineering; a PhD is preferred.
• 10+ years of professional experience in data science, machine learning, NLP, or AI, including hands-on NLP or GenAI delivery.
• Experience taking ML, NLP, or GenAI solutions from experimentation through production deployment and optimization.
• Expert Python skills with Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.
• Strong knowledge of NLP, deep learning, transformer models, LLMs, evaluation methods, SQL, and large-scale structured and unstructured data.
• Experience with distributed data processing, cloud platforms, ML infrastructure, vector databases, and LLM application frameworks.

Nice to have

• Experience applying NLP to legal documents and working with document intelligence, semantic search, multimodal models, or knowledge graphs.
• Knowledge of parameter-efficient fine-tuning, quantization, distillation, inference optimization, synthetic data, or agentic architectures.
• Publications, patents, open-source contributions, conference talks, or technical writing.
• Experience in Agile, cross-functional product development teams.

Culture & Benefits

• Work in a collaborative environment focused on innovation, technical rigor, and continuous learning.
• Partner with scientists, engineers, product teams, and data science teams on complex product challenges.
• Contribute to products used by more than 10,000 customers worldwide.
• Access individual and team development opportunities in an inclusive workplace.