Job Summary: We are seeking a Generative AI Data Scientist to design innovative products that scale and improve how people work—focused on impact and user experience. Key Highlights: 1. High-impact role, closely aligned with product and architecture. 2. Stable projects where generative AI is core. 3. Career plan co-designed with you and support for certifications. We seek the person who transforms experimenting with LLMs into designing functional, scalable, and real-world-impactful generative AI products. **Who We Are** At **PROCESIA**, we build solutions where generative AI moves beyond hype to become assistants, intelligent search engines, automations, and services used daily. **The Challenge: Generative AI Data Scientist** This role focuses on designing how AI thinks within our products: what information it consults, how it combines that information, how it responds, and how we improve its behavior using real-world data. This is not merely a model-training position—it is a high-impact role deeply embedded in product, architecture, and user experience. **What We’d Like to See in You:** * A solid track record in IT projects (approximately 7 years or more), including several focused on data and artificial intelligence. * At least 5 years of hands-on involvement in analysis, design, and development of systems handling large volumes of data or AI solutions. * Full confidence in **Python** and its data ecosystem: pandas, numpy, scikit-learn, visualization with matplotlib/seaborn, and intensive use of notebooks. * Real-world experience building APIs and services around models (FastAPI/Flask, OpenAPI/Swagger, CI/CD, Docker, Kubernetes). * Multiple completed projects involving **generative AI**: RAG architectures, GPT-like models, LLaMa or Mistral, Transformers, fine-tuning, embeddings, and metrics for evaluating LLMs. **Your Day-to-Day Responsibilities:** Rather than working in isolation in a data tower, you’ll collaborate closely with development and architecture teams—from idea conception through deployment. * Design generative AI solutions based on RAG: decide how the index is built, what context is retrieved, and how the LLM call is orchestrated. * Prepare and understand data (structured and unstructured), defining necessary transformations to feed generative models. * Test, compare, and tune large models (GPT, LLaMa, Mistral), defining prompt strategies, fine-tuning approaches, and continuous evaluation. * Collaborate closely with the Python team to expose your models via robust, monitored APIs deployed in cloud-native environments. * Measure the impact of your work: response quality, latency, user feedback, and improvement opportunities. **Beyond Minimum Requirements, We’ll Pay Attention To:** * Real-world cases where you’ve applied generative AI to solve concrete problems—not just PoCs left in a repo. * How you combine technical expertise with the ability to explain decisions and results to non-technical stakeholders. * Additional experience comfortably navigating containers, Kubernetes, observability (Grafana, Prometheus), and vector databases. **What You’ll Find at PROCESIA** We want this role to be a qualitative leap in your career—not just another project. * A stable project where generative AI is core—not an add-on—with a medium- to long-term roadmap. * Permanent contract, full-time, hybrid/remote model, and flexible hours enabling deep focus alongside personal life. * A career plan co-designed with you, English classes, and genuine support for technical certifications of interest to you. * Three months of summer intensive schedule, intensive Fridays year-round, and time off on Christmas Eve and New Year’s Eve. * Health insurance with no co-pay, a close-knit and ego-free environment, free coffee and tea in the office, and a Management 3\.0 model where decisions are made collaboratively. * Competitive salary aligned with the value you bring to the project.