dels using real-life data.

Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps.

Advanced knowledge of statistics and machine learning algorithms.

Proficiency in Python programming and familiarity with R.

Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX.

Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge.

Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.).

Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure

Strong verbal and written communication skills, including effective presentation abilities.

Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills.

You will have an advantage if you also have:

Expertise with Big Data technologies (e.g., PySpark).
Background in knowledge graphs, graph databases, or GraphRAG architectures.
Understanding of multimodal models (text, audio, vision).
Experience in Customer Experience domains.
Experience with package development and technical writing.
Familiarity with tools like Jira, Confluence, and source control packages and methodology.
Knowledge and interest in foreign languages and linguistics.
Experience working on international, globe-spanning teams and with AWS.
Past participation in a formal research setting.
Experience as part of a software organization.

Specialist Data Scientist