Data Scientist (GenAI, ML, NLP)

TL;DR

Data Scientist (GenAI, ML, NLP): Developing, evaluating, and deploying AI and NLP models for corporate markets products with an accent on building and optimizing GenAI, RAG, and NLP pipelines. Focus on delivering efficient, production-ready Python code and collaborating with developers and subject matter experts for integration and validation.

Location: Work from anywhere globally.

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

• Support the development, evaluation, and deployment of AI and NLP models in products.
• Contribute to building and optimizing GenAI, RAG, and NLP pipeline components.
• Assist in collecting, cleaning, and preparing structured and unstructured data for model development.
• 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 monitor model performance.

Requirements

• MSc/MTech in Computer Science, Data Science, AI, Mathematics, Statistics, Bioinformatics, or similar quantitative field OR Bachelor’s degree + 1–2 years of relevant experience.
• 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.
• Understanding of RAG concepts and willingness to learn implementation.

Nice to have

• Experience with agent frameworks (LangChain or similar).
• Familiarity with Databricks, OpenSearch.
• Knowledge of deep learning fundamentals.
• Basic understanding of software engineering practices and CI/CD workflows.

Culture & Benefits

• Comprehensive Pension Plan and Annual Profit Share Bonus.
• Generous vacation entitlement and option for sabbatical leave.
• Flexible working hours with home, office, or commuting allowance.
• Access to a Personal Choice budget for various benefits.
• Variety of online training courses and career roadshows for professional development.
• Wellbeing programs, gym facilities in the office, and Employee Assistance Program (global).