We are an IT consulting firm with expert staff in different areas of technology.
At BC Tecnología we manage portfolios, develop projects and offer outsourcing services and selection of professionals for clients in sectors such as financial services, insurance, retail and government. You will participate in strategic digital transformation initiatives for LATAM Airlines, a leading organization in the aeronautical industry, in an environment that combines remote work with occasional office presence. You will be part of the Architecture Management, collaborating in the definition of the business architecture and its evolution in the face of technological and business changes, ensuring alignment with the corporate strategy and governance standards.
Curation and cleaning of unstructured text from multiple sources (chats, transcribed calls, CRM records).
Design of curation and cleaning of unstructured text for preparation of content for language models.
Generation, management and versioning of embeddings.
Implementation and administration of vector databases (e.g. pgvector, Qdrant, Chroma, Weaviate, Pinecone, Milvus) and hybrid search.
Construction of complete RAG (Retrieval-Augmented Generation) pipelines, including evaluation and traceability of responses.
Integration with language model APIs (LLM), both on own/internal servers and external providers (Anthropic, OpenAI, Azure OpenAI, Google Gemini), with provider-agnostic design.
Requirements Technical
Programming and Data
Python. SQL. PySpark. Apache Spark. Big Data. Development of ETL/ELT processes. Manipulation and analysis of large volumes of data.
Data Science and AI
Exploratory data analysis. Feature Engineering. Model evaluation and optimization.
Tools and Framework
Vector databases (Pinecone, Weaviate, Chroma, Qdrant, Milvus or similar). Git.
Cloud
Azure. Data storage and processing services.
We are seeking to recruit a professional to participate in a strategic Generative Artificial Intelligence initiative focused on the development of semantic analysis capabilities and conversational agents.
The project aims to transform large volumes of unstructured information from various sources, such as chats, call transcripts and CRM records, into actionable knowledge through the use of Generative AI technologies, Large Language Models (LLMs), embeddings and RAG (Retrieval-Augmented) architectures. Generation).
The selected person will participate in the design and implementation of solutions that improve intelligent information retrieval, response traceability, and the conversational interaction experience.
Main Responsibilities
Design and implement Data Science and Artificial Intelligence solutions.
Process, clean and transform large volumes of data from different sources.
Develop data pipelines for the automation of analytical processes.
Build predictive, analytical and Generative AI models according to business needs.
Implement solutions based on Large Language Models (LLMs).
Generate embeddings and work with vector databases.
Participate in the definition of data architectures and advanced analytics.
Integrate different sources of information to generate models and automations.
Collaborate with business teams to identify opportunities for the use of data and artificial intelligence.
Document processes, models and implemented solutions.
Desirable Knowledge
(Not exclusive, since we have internal support for this part)
Experience in Microsoft Fabric.
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