Generative AI Data Scientist

Description

Job Summary: We are seeking a Generative AI Data Scientist to design AI products that work, scale, and improve how people work in the real world—by developing how AI thinks and improves using real-world data. Key Highlights: 1. Design of generative AI solutions and LLM orchestration 2. Impact on product, architecture, and user experience 3. Development of stable and scalable generative AI We are looking for someone who can move beyond experimenting with LLMs to designing generative AI products that work, scale, and improve real-world workflows. **Who We Are** At **PROCESIA**, we build solutions where generative AI moves beyond hype to become intelligent assistants, smart search tools, 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 an impact-driven 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), with several focused on data and artificial intelligence. * At least 5 years of hands-on involvement in the 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. **What Will Your Day-to-Day Look Like?** Rather than working isolated in a data tower, you’ll collaborate closely with development and architecture teams—from idea inception through to deployment. * You’ll design RAG-based generative AI solutions: deciding how indexes are built, what context is retrieved, and how LLM calls are orchestrated. * You’ll prepare and understand data (structured and unstructured), defining necessary transformations to feed generative models. * You’ll test, compare, and tune large models (GPT, LLaMa, Mistral), establishing prompt strategies, fine-tuning approaches, and continuous evaluation. * You’ll work hand-in-hand with the Python team to expose your models via robust, monitored APIs deployed in cloud-native environments. * You’ll measure the impact of your work: response quality, latency, user feedback, and opportunities for improvement. **Beyond Minimum Requirements, We’ll Pay Close Attention To:** * Real-world cases where you’ve applied generative AI to solve concrete problems (not just PoCs left in a repository). * How you combine technical expertise with the ability to explain decisions and outcomes to non-technical stakeholders. * Additional experience operating comfortably across 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 central—not decorative—with a clear mid-to-long-term roadmap. * An indefinite contract, full-time schedule, hybrid/remote model, and flexible hours to balance deep focus with personal life. * A personalized career plan, 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-pays, a friendly environment, zero egos, free coffee and tea in the office, and a Management 3\.0 model where decisions are made collaboratively. * Competitive compensation aligned with the value you bring to the project.