We are looking for a Senior Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, operationalization of AI/ML and process automation.
You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems.
Job Responsibilities
Develop and apply machine learning innovations with minimal technical supervision. Understand the requirements from stakeholders and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse 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. Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
Essential Requirements
- Bachelors degree in Computer Science or an equivalent numerate discipline
- Demonstrated senior experience in Machine Learning, Deep Learning & other AI fields
- Experience working with large datasets, production-grade code & operationalization of ML solutions
- EDA analysis & practical hands-on experience with datasets, ML models (Pytorch or Tensorflow) & evaluations
- Able to understand scientific papers & develop the idea into executable code
- Analytical mindset, problem solving & logical thinking capabilities
- Proactive attitude, constructive, intellectual curiosity & persistence to find answers to questions
- A high level of interpersonal & communication skills in English & strong ability to meet deadlines
- Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks
Qualifications Desired Skills
- Masters degree &/or specialization courses in AI/ML. PhD in science is an added value
- Experience in MLOPs (MLFlow, Prefect) & deployment of AI/ML solutions to the cloud (Azure preferred)
- Understanding & practice of LLMs & Generative AI (prompt engineering, RAG).
- Experience with Robotic Process Automation, Time Series Forecasting & Predictive modeling
- A practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss)
- Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio)
