CPIM Group is seeking an innovative and detail-oriented Senior AI Engineer / AI Data Scientist to join exciting global AI and data projects. We’re looking for a professional passionate about synthetic data generation, generative modeling, and LLM-based applications, who enjoys turning complex data challenges into actionable insights.

This position is open exclusively to professionals currently residing in Argentina 🇦🇷.

Key Responsibilities:

Design, generate, and validate synthetic datasets in multiple formats (tables, time-series, images, PDFs, JSON, Excel, CSV).
Apply generative modeling techniques (GANs, VAEs), statistical resampling, and data masking to simulate privacy-aware, high-fidelity data.
Clean, tag, classify, and enrich real or synthetic data to support risk detection, insight generation, and LLM-based workflows.
Research and evaluate new techniques for structured output extraction and data simulation; share insights and tools with the team.
Build visualizations and dashboards to communicate results, metrics, and data insights to stakeholders.
Collaborate with AI Data Engineers and Frontend Developers to embed structured and synthetic data into GenAI applications and POCs.
Ensure all data practices comply with privacy, security, and regulatory standards.

Required Skills:

Strong programming skills in Python.
Experience with synthetic data libraries such as SDGym, Synthpop, Faker, or Synthea.
Proficiency in pandas, NumPy, scikit-learn, and data wrangling for structured/unstructured data.
Experience using Jupyter, matplotlib, seaborn, or Plotly for experimentation and visualization.
Familiarity with structured output tools (e.g., Pydantic, LangChain) and LLM pipeline integration.
(Bonus) Hands-on experience with PyTorch or TensorFlow for building custom generative models.
(Bonus) Knowledge of BI tools (e.g., Power BI, Streamlit, Dash) for stakeholder-facing dashboards.