Capgemini Colombia S.A.S.
Durante más de 50 años, hemos sido un socio dedicado a organizaciones de todo el mundo, ayudándolas a transformar y gestionar sus negocios. Un colectivo diverso de más de 325.000 expertos estratégicos y tecnológicos en más de 50 países, todos estamos impulsados por una pasión compartida: liberar la energía humana a través de la tecnología. A medida que aprovechamos la nube, los datos, la IA, la conectividad, el software, la ingeniería digital y las plataformas para abordar toda la amplitud de las necesidades empresariales, esta pasión impulsa un poderoso compromiso. Desbloquear el verdadero valor de la tecnología para su negocio, nuestro planeta y la sociedad para un futuro más inclusivo y sostenible.
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09/12/2025
Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá
Role: Senior Bilingual MLOps Engineer - Remote Your role: MIAP Performance Monitoring: Includes code refactoring and enhancements on a dynamic, two-step regression model used to forecast performance of different shipboard systems (e.g. HVAC, Service Power). Fuel Forecasting: Creating an enhanced fuel forecasting model accounting for additional features (e.g. fuel type mix, speed, weather) and serving model through a Container App or Endpoint for Business Planning Teams to simulate fuel costs based on different deployment scenarios. Azure DevOps/MLOps: A MLOps Engineer will enhance the AzureDevOps/MLOps capabilities of MARC. Proper adherence to best practices in MLOps will ensure that MARC's pricing and inventory automation processes are being properly developed, deployed, and monitored in a secure and efficient manner to reduce operational risks and increase system scalability. Required: Machine Learning frameworks such as TensorFlow, PyTorch etc. Creating and maintaining Python libraries for machine learning that provides a range of algorithms for classification, regression, clustering etc. Skills to write efficient and scalable code for data processing, model training & deployment. Selecting appropriate ML algorithms and training them on the preprocessed data to create accurate predictive models. Cloud computing platform experience (preferably in Azure). Cloud based ML Services (preferred Azure ML). Azure services, such as ADF, Azure Functions, Azure, Cosmos DB etc. Azure DevOps Principles & practices, including CI/CD pipelines. Azure Security Management for security policies, access controls. Azure Active Directory, network security groups. Strong data analytics skills for data profiling to train the model. What We Offer: Stable Employment: Permanent contract offering long-term job security. Learning & Development: Access to a wide range of online training platforms and professional development resources. Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages. Health Coverage: Comprehensive prepaid medical and dental plans. Insurance Protection: Life and accident insurance for peace of mind. Wellness Perks: Discounts and benefits through fitness and technology partnerships. Special Occasion benefits. Labor Conditions: Workplace: Colombia. Type of Contract: Fixed-term. Salary: to be agreed according to experience. This vacancy is disclosed through ticjob.co
