Senior Data & AI Architect

Requerimientos del cargo

Technical Skills

• Degree in Mathematics, Statistics, Physics, or Computer Engineering.

• Master’s degree in Big Data and Artificial Intelligence is highly valued.

• +5-6 years of experience in data analysis.

• +3 years working in Big Data environments and deploying AI models into production.

Technical Stack

• Advanced Python: Pandas / Scikit-learn / PyTorch / TensorFlow

• Advanced SQL.

• Experience with: Spark / Hadoop / Kafka / Cloud:

• AWS / Azure / GCP

• Generative AI and LLMs: Implementation of solutions with language models / Experience with RAG (Retrieval-Augmented Generation).

• Data visualization: Tableau / Power BI / Plotly / D3.js

Soft Skills

• Systems thinking.

• Ability to translate complex technical concepts to clients and non-technical teams.

• Servant leadership.

• Mentorship and team coordination.

• Intellectual curiosity.

• Adaptability to change.

• Effective communication.

• Results-oriented mindset.

• Analytical and strategic thinking.

Projects

Interfell conecta empresas con el talento IT de LATAM, gestionando procesos de Staffing y Recruiting para impulsar el trabajo remoto y la transformación digital. Nuestro objetivo es potenciar la inclusión y el equilibrio vida-trabajo, brindando una experiencia de contratación integral y de alta calidad. Esta posición forma parte de un equipo enfocado en generar oportunidades de ventas y vínculos con potenciales clientes, contribuyendo al crecimiento de nuestras operaciones en la región.

Funciones del cargo

• Design mathematical models and AI algorithms for prediction and social impact analysis.

• Lead data mining and analysis processes in Big Data environments.

• Define and supervise automated models based on SROI and Theory of Change.

• Ensure interoperability between nodes within the SDDI ecosystem.

• Validate dashboards and advanced visualizations for non-technical stakeholders.

• Lead ethical audits of algorithms and AI bias control processes.

• Coordinate and mentor junior profiles within the data team.

• Establish quality standards and analytical best practices.

• Actively participate in hands-on technical tasks when required.

• Work jointly with social and technical teams to define use cases.

Condiciones

• 100% remote work.

• Birthday day off.

• Participation in an advanced technology project with social purpose.

• Organizational culture based on trust and autonomy.

• Mentored onboarding process.

• Continuous follow-up and feedback process.