GenAI Data Scientist — Build End-to-End LLM Apps

Lingaro; United States; A distancia; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Lingaro is seeking a Data Scientist to join the DS&AI Competency Center to build Talk-To-Data solutions powered by GenAI. You will work on end-to-end GenAI apps, RAG pipelines, and model fine-tuning, collaborating with clients to translate business problems into technical goals.

Proficiency in Python, SQL, NLP, and cloud stacks (Azure/GCP) is essential, with hands-on ML, multimodal models, and tooling like LangChain, PyTorch, and LangGraph.

Formación

• Fluency in Python and object programing.
• Working knowledge of SQL and vector databases.
• Experience with GenAI and NLP or multimodal models.
• familiarity with modern DL concepts.

Responsabilidades

• Build end-to-end GenAI applications (chatbots, voicebots, Talk-to-Data).
• Design and implement RAG pipelines with vector databases and hybrid search.
• Perform model selection, prompting, and fine-tuning (LoRA/QLoRA/SFT).
• Design MCP connectors for LLMs interactions with tools and data sources.
• Translate business problems into technical goals and success metrics.
• Support project delivery and pre-sales initiatives.

Conocimientos

Python

SQL

NLP

GenAI

Deep learning theory

Vector databases

Azure/GCP cloud

Model evaluation

MCP protocol

Team leadership

Herramientas

LangChain

LlamaIndex

LangGraph

PyTorch

HuggingFace

OpenAI APIs

Gemini

Databricks

Descripción del empleo

Lingaro is seeking a Data Scientist to join the DS&AI Competency Center to build Talk-To-Data solutions powered by GenAI. You will work on end-to-end GenAI apps, RAG pipelines, and model fine-tuning, collaborating with clients to translate business problems into technical goals.

Proficiency in Python, SQL, NLP, and cloud stacks (Azure/GCP) is essential, with hands-on ML, multimodal models, and tooling like LangChain, PyTorch, and LangGraph.