TL;DR

Data Scientist III (AI): Supporting the development, evaluation, and deployment of AI and NLP models for %hirify_global%’s products with an accent on GenAI, ML and NLP expertise. Focus on building and optimizing components of GenAI, RAG, and NLP pipelines, and delivering efficient and production-ready Python code.

Location: Work from anywhere

Salary: Not specified

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.
Develop well-structured, production-ready Python modules for preprocessing, model execution, and evaluation.
Collaborate with developers to integrate data science components into production workflows.
Support end-to-end quality validation of deployed pipelines and help monitor model performance over time.

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.

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.
Provide a variety of online training courses and career roadshows.
Offer various employee discounts.

Data Scientist (GenAI, ML, NLP)