Senior Data Scientist (GCP, Python & AI Agents)

At Intellias, we're always on the lookout for exceptional talent to join our team in Colombia.

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

If you're enthusiastic about contributing your skills and experience to our organization, we invite you to submit your CV for this position.

What we offer you in Colombia

• Indefinite contract with Intellias Colombia SAS, payment in COP
• Health, life, funerary and pet insurance for the employee
• Extra vacation days
• Workation up to 90 day outside Colombia
• Training and certifications
• 100% work from home + internet subsidy
• 100% English environment

Required Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field.
• Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role.
• Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions).
• LLM Expertise: Demonstrated project experience with large language models, including:

1. Prompt engineering and prompt management strategies
2. LLM application development (end-to-end)
3. Fine-tuning of large language models
4. Retrieval-augmented generation (RAG) pipeline design and implementation
5. Practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL
6. AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks. Must demonstrate the ability to design agent architectures, manage tool integration, and handle complex agent workflows.
7. Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation).
8. Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine).
9. DevOps & MLOps:
10. Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers.
11. GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management.
12. API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving. Broader software development experience expected.