Senior Research Scientist

Develop and apply machine learning innovations to business problems with minimal technical supervision.
Assess your own and others’ results to understand their applicability in the real world.
Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely.
Perform feasibility studies and analyze data to determine the most appropriate solution.
Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
Maintain and develop data and software with high-quality standards and minimal defects.
Collaborate with technical colleagues on the integration and deployment of ML solutions.
Encourage team building, motivation and cultivate effective team relations. Bachelor’s degree in computer science or an equivalent numerate discipline
Bachelor’s degree in computer science or an equivalent numerate discipline
Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch
Experience performing EDA with large datasets and writing production-grade code
Ability to understand scientific papers and develop the idea into executable code
Analytical mindset, problem solving and logical thinking capabilities
A high level of interpersonal and presentation skills in English across cultures
Strong ability to meet deadlines.
Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
Python, Pytorch, Git, pandas, sklearn, huggingface
A minimum of 7 years’ experience with evidence in a related ML field
Good to Have:
Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value.
Experience in MLOPs
Understanding and practice of Generative AI (prompt engineering, RAG).
A practical grasp of databases (SQL, ElasticSearch) and Databricks
Experience in retail, consumer, ecommerce, business, FMCG domain.
Additional Information
Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
Recharge and revitalize with help of wellness plans made for you and your family.
Plan your future with financial wellness tools.
Stay relevant and upskill yourself with career development opportunities

Employment type
Full-time

Work arrangement
Hybrid