Data Scientist Iii (Ai)

TL;DR

Data Scientist III (AI): Developing and deploying AI and NLP models for hirify.global's corporate markets, focusing on building and optimizing GenAI, RAG, and NLP pipelines. Focus on designing model inference pipelines, transformer-based models, and GenAI applications, while collaborating with senior data scientists and subject matter experts.

Location: Remote

Company

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

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.
• Provide a variety of online training courses and career roadshows.
• Offer wellbeing programs and gym facility in the office.