Inetum

Global IT services for digital transformation

AI Machine Learning

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeBogotá, Bogota, ColombiaNo salary listedHybrid

About the Job

Requirements

More than 6 years of experience designing and implementing enterprise-scale machine learning architectures and large language model solutions.
Advanced Python programming.
Experience with TensorFlow or PyTorch.
Experience with APIs, including FastAPI.
Experience with large language model tools such as LangChain or similar.
Experience with MLflow, Kubeflow, model governance, monitoring, and model lifecycle management.
Experience with AWS, preferably, and infrastructure as code tools such as Terraform or CloudFormation.
Knowledge of distributed architectures.
Experience with Spark, Athena, Glue, or equivalent data-engineering tools and large data volumes.
Experience with Airflow, Prefect, or similar orchestration tools, and Kafka or Kinesis.
Experience with continuous integration and deployment pipelines and CloudWatch or similar monitoring tools.
Analytical thinking and results orientation.
Ability to solve complex problems.
Ability to communicate technical results to non-technical audiences.
Ability to collaborate with business teams.
Proactivity, continuous learning, and focus on business value.

Responsibilities

Define and implement scalable, resilient, and cost-efficient machine learning and large language model architectures.
Implement and govern MLOps and LLMOps practices, including versioning, monitoring, inference optimization, and cost optimization.
Design solutions based on embeddings and retrieval-augmented generation with high semantic-quality standards.
Conduct distributed training and model optimization in cloud environments.
Establish evaluation frameworks, including A/B testing and performance and impact metrics.
Define AI security, privacy, and governance guidelines.
Design and optimize batch and streaming data and machine learning pipelines.
Operationalize models through APIs and decoupled architectures.

Desired Qualifications

Experience with AWS is preferred.

Descripción del empleo

Buscamos profesional en Ingeniería de Sistemas, desarrollador y/o programador o afines, con más de 6 años de experiencia realizando el diseño e implementación de arquitecturas de Machine Learning y soluciones basadas en LLMs a escala empresarial.

Perfil Senior Experto, responsable de definir estrategias de IA, arquitecturas escalables y prácticas de MLOps/LLMOps, garantizando generación de valor, eficiencia operativa, optimización de costos y cumplimiento normativo.

Requisitos

Responsabilidades

Definir y realizar arquitecturas de ML y LLMs escalables, resilientes y costo-eficientes.
Implementar y gobernar prácticas de MLOps y LLMOps (versionamiento, monitoreo, optimización de inferencias y costos).
Diseñar soluciones basadas en embeddings y RAG con altos estándares de calidad semántica.
Realizar entrenamiento distribuido y optimización de modelos en entornos cloud.
Establecer marcos de evaluación (A/B testing, métricas de desempeño e impacto).
Definir lineamientos de seguridad, privacidad y gobernanza de IA.
Diseñar y optimizar pipelines de datos y ML (batch y streaming).
Productivizar modelos mediante APIs y arquitecturas desacopladas.

Conocimientos técnicos

Programación y frameworks:
Python avanzado, TensorFlow/PyTorch, APIs (FastAPI), herramientas de LLM (LangChain o similares).
MLOps & LLMOps:
Lflow, Kubeflow, gobernanza, monitoreo y lifecycle de modelos.
Cloud & Infraestructura:
AWS (preferible), IaC (Terraform/CloudFormation), arquitecturas distribuidas.
Ingeniería de datos:
Spark, Athena, Glue o equivalentes; manejo de grandes volúmenes de datos.
Orquestación & Streaming:
Airflow, Prefect o similares; Kafka/Kinesis.
CI/CD y monitoreo:
Pipelines de integración y despliegue continuo; CloudWatch o similares.

Información adicional

Habilidades blandas

Pensamiento analítico y orientación a resultados
Capacidad de resolver problemas complejos
Habilidad para comunicar resultados técnicos a audiencias no técnicas
Trabajo en equipo y colaboración con áreas de negocio
Proactividad y aprendizaje continuo
Enfoque en generación de valor para el negocio

About the Company

Inetum

Global IT services for digital transformation

Inetum provides IT services for digital transformation in 26 countries, serving enterprises, SMEs, and public sector clients. It offers cybersecurity, cloud computing, predictive maintenance, and augmented reality, delivered through consulting, managed services, and proprietary software. It differentiates itself through a broad service portfolio, strategic partnerships with Microsoft and Sage, and a focus on tailoring solutions to fit each client’s needs. Its goal is to help clients adapt to a changing digital landscape, improving business agility and creating economic, managerial, and social opportunities.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Saint-Ouen, France
Founded: 1995

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