Research Manager - Data Science & Data Engineering Domain

Key Responsibilities include:

- Support global and local research projects on themes aligned to the company's global priorities and efforts.

- Design, develop and maintain data solutions in cloud environment.

- Promote and implement best practices and modern approaches for big data processing and management. Support research projects in terms of data provisioning and development of research solutions.

Experience and skills:

- Experience in developing GenAI tools and building the necessary architecture to support development.

- Proven knowledge of GenAI frameworks like Langchain, LLamaindex, etc.

- Skills in building, maintaining and querying VectorDB, Milvus is preferred.

- Experience with both closed LLMs (Azure OpenAI, Claude) and open source LLMs (LLAMA, Falcon.)

- Practice in designing and development of data pipelines and processes orchestration.

- Experience in designing data architecture and governance, data warehousing, data quality management, master data management.

- Excellent knowledge of Python language, particularly in processing of structured and unstructured data

- Proficiency in SQL for processing large datasets

- Skills in working on Linux/Unix operational system.

- Ability to work with CI/CD tools.

- Knowledge of GCP data services: Cloud Composer, Big Query and Dataflow

- Practice in development of application integration solution is an advantage.