Data Scientist Iii (Ai)

TL;DR

Data Scientist III (AI): Developing and deploying AI and NLP models for hirify.global's corporate markets products with an accent on building and optimizing GenAI, RAG, and NLP pipelines. Focus on collaborating with senior data scientists, software engineers, and subject matter experts in chemistry and biology to deliver efficient and production-ready Python code.

Location: Must be based in the US

Company

hirify.global is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.

What you will do

• Assist in collecting, cleaning, and preparing structured and unstructured data for model development.
• Contribute to ML/NLP model prototyping and evaluation, including defining basic quality metrics with guidance.
• Support optimization of Retrieval Augmented Generation (RAG) components such as document ingestion, retrieval, and preprocessing.
• Help design and test model inference pipelines, transformer-base models, and GenAI applications.
• Develop well-structured, production-ready Python modules for preprocessing, model execution, and evaluation.
• Collaborate with developers to integrate data science components into production workflows.

Requirements

• MSc/MTech in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Bioinformatics, or a similar quantitative field OR Bachelor’s degree + 1–2 years of relevant experience.
• Some applied experience with ML or NLP projects (internships, academic work, or industry roles).
• Solid Python programming skills for data analysis and model development.
• Basic familiarity with transformer models and modern NLP techniques.
• Experience using LLMs via APIs, prompt engineering, or experimentation with GenAI tools.
• Experience with GitHub/GitLab and Agile ways of working.

Nice to have

• Experience with agent frameworks (LangChain or similar).
• Familiarity with Databricks, OpenSearch.
• Knowledge of deep learning fundamentals (e.g., neural networks, transfer learning).
• Basic understanding of software engineering practices and CI/CD workflows.
• Affinity with ontologies/taxonomies.

Culture & Benefits

• Promote a healthy work/life balance across the organization.
• Offer numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
• Provide generous vacation entitlement and option for sabbatical leave.
• Offer flexible working hours and personal choice budget.
• Provide a variety of online training courses and career roadshows.
• Offer wellbeing programs and gym facility in the office.