Support the development, evaluation, and deployment of AI and NLP models used in our products.
Contribute to building and optimizing components of our GenAI, RAG, and NLP pipelines.
Deliver efficient and production-ready Python code.
Collaborate closely with developers to deploy and productionize our data science pipelines.
Support end-to-end quality validation of deployed pipelines and help monitor model performance over time.
Communicate results in a clear, structured way to technical and non-technical stakeholders.

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.
Understanding of RAG concepts and willingness to learn how to implement them.
Exposure to cloud environments (AWS, Azure, Bedrock) or interest in learning deployment workflows.
Familiarity with common ML algorithms (e.g., logistic regression, SVMs, random forests) and model evaluation practices.
Experience with GitHub/GitLab and Agile ways of working.
Strong analytical and problem-solving mindset.
Curiosity and willingness to learn new technologies.
Clear communication and ability to work in a collaborative, cross-functional team.

Data Scientist

Key skills