Machine Learning Engineer at Red Hat focused on AI model optimization and collaboration with research teams. Developing software for LLM training and deployment in enterprise settings.
About the role
- MLOps Consultant designing and optimizing machine learning model infrastructure for Capgemini. Collaborating with diverse teams to ensure efficient deployment and monitoring of ML models.
Responsibilities
- Diseñar, implementar y optimizar la infraestructura y procesos necesarios para el ciclo de vida completo de modelos de Machine Learning
- Asegurando su despliegue, monitoreo y mantenimiento en entornos productivos de manera eficiente y escalable
- Definir y construir pipelines de CI/CD para modelos de Machine Learning
- Automatizar procesos de entrenamiento, validación y despliegue de modelos
- Integrar herramientas de versionado de datos y modelos (DVC, MLflow)
- Implementar prácticas de monitoreo y retraining para modelos en producción
- Garantizar la seguridad, gobernanza y cumplimiento normativo en el ciclo de vida de ML
- Colaborar con equipos de Data Science, DevOps y Arquitectura para optimizar flujo
Requirements
- 2+ años en MLOps o DevOps aplicado a proyectos de IA
- Experiencia en herramientas como MLflow, Kubeflow, Airflow, Docker, Kubernetes
- Pensamiento analítico y enfoque en la resolución de problemas
- Comunicación efectiva con usuarios técnicos y funcionales
- Capacidad para traducir requerimientos de negocio en soluciones técnicas BI
- Experiencia en metodologías ágiles (Scrum, Kanban) y gestión de proyectos
- Adaptabilidad a entornos multiculturales y proyectos internacionales
Benefits
- Compensación competitiva
- Beneficios superiores a los de Ley
- Ambiente laboral diverso e inclusivo
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer developing AI - driven fitness solutions at BHOUT. Analyzing performance data and building predictive models to coach users effectively.
Machine Learning Engineer position at RATP focuses on developing and optimizing Generative AI solutions. Engage with data science and machine learning within the company’s Data Factory.
MLOps Engineer creating robust and secure ML models for the IMG. Collaborating with data teams to operationalize AI solutions.
Senior Manager leading the development of AI agents for HR and Finance at Workday. Building and mentoring a high - performing engineering team to deliver scalable AI solutions.
Machine Learning Engineer at Workday developing data & AI - driven payroll solutions at global scale. Collaborating with product managers and software engineers for predictive analytics in payroll processing.
Senior ML Engineer at Kiefer Tech designing and optimizing AI systems for Greece and the EU. Focus on ASR pipelines, model performance, and multi - agent AI frameworks in a hybrid work environment.
Machine Learning Engineer deploying, automating, maintaining, and monitoring machine learning models within financial services. Collaborating in Agile teams to design and develop state - of - the - art ML products.
Scorecard Developer responsible for developing and maintaining credit scoring components and calibrations. Collaborating with engineering teams to deliver high - quality scoring solutions for credit decisioning.
Machine Learning Software Engineer II at RBC Borealis responsible for ML solutions development and collaboration with research teams. Handling data pre - processing, algorithm building, deployment, and monitoring of ML systems.