Research Scientist
External
Nielseniq · Chennai, IndiaPrepare for this interview
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Requirements
- 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)
- With @NielsenIQ, we're now an even more diverse team of 40,000 people - each with their own stories
- Our increasingly diverse workforce empowers us to better reflect the diversity of the markets we measure.
Benefits
Additional Information
We are looking for a number of Mid Research Scientists 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. 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 Bachelor's 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
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