Google Data and AI Specialist
Role details
Job location
Tech stack
Job description
We are looking for a Data & AI Specialist to join BIP's Google Tech Hub, working on Artificial Intelligence, Cloud, Data, and Martech projects on Google Cloud Platform (GCP).
The selected candidate will support the company's AI adoption journey by designing and delivering actionable AI solutions fully integrated into business processes, within the Data Analytics, BI & Business Analysis team, focusing on creating real impact for clients. Your Role
In this role, you will not only develop models, but also work closely with data to extract tangible value and generate strategic business insights.
You will be responsible for designing and developing advanced models to understand and predict business dynamics, optimizing data-driven strategies. You will design scalable and distributed Artificial Intelligence (AI) solutions for specific use cases.
You will collaborate closely with professionals such as Cloud & Data Architects, Data Engineers, and Business Analysts to develop Generative AI and Machine Learning solutions, bringing insights into production through scalable architectures. Who We Are Looking For
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, A curious, motivated individual with a strong analytical mindset, able to work in teams and enthusiastically tackle new challenges. Key Requirements
- Education: Master's degree in Computer Engineering, Data Science, Computer Science, Statistics, Mathematics, or related STEM disciplines.
- Experience: At least 3 years of experience in Data Science roles or software development focused on data.
- Programming: Advanced knowledge of Python and experience in software development in at least one language among Python, Scala, Java, or Node.js.
- Database & SQL: Advanced knowledge of SQL for querying, managing, and modeling data in both transactional and analytical contexts, including ETL activities.
- AI & Machine Learning: Proven experience applying AI solutions (including Generative AI) and developing advanced AI models.
- Strong knowledge of Machine Learning and Generative AI concepts, algorithms, and methodologies.
- Expertise in Context Engineering (Prompt Engineering) to optimize the integration of AI models (LLMs) into software systems.
- Good knowledge of Python libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Cloud (GCP): Experience with Google Cloud Platform, particularly Vertex AI (training, fine-tuning, and deployment), BigQuery (large-scale data analysis), and BigQuery ML (AI model integration into analytics workflows).
- Experience in designing software solutions and implementing algorithms and data structures.
- Experience with version control tools (e.g., Git).
- Fluent professional Spanish and English.
Nice to Have
- Data Visualization: Knowledge of BI and Data Visualization tools (e.g., Looker, Power BI, Tableau).
- RAG & Vector DB: Strong knowledge and hands-on experience with Vector Databases (e.g., Pinecone, ChromaDB) and related RAG (Retrieval-Augmented Generation) pipelines.
- Architectures: Experience developing distributed applications and microservices architectures.
- AI Coding: Practical experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code).
- AI Integration: Experience integrating Generative AI models (e.g., Large Language Models, NLP, Vision AI).
- DevOps: Knowledge of Terraform and observability stacks.
- Modeling: Previous experience with optimization or profiling models (e.g., NBA/NBO models, attribution models, dynamic profiling).
