- Offer Position Summary The Cognitive Automation Engineer will be responsible for designing and implementing automation solutions that leverage cognitive technologies, such as natural language processing, machine learning, and artificial intelligence, to improve business processes. Reporting to our Intelligent Automation Manager, this role focuses on developing intelligent systems that enhance operational efficiency and drive innovation. The ideal candidateOffer Position Summary The Cognitive Automation Engineer will be responsible for designing and implementing automation solutions that leverage cognitive technologies, such as natural language processing, machine learning, and artificial intelligence, to improve business processes. Reporting to our Intelligent Automation Manager, this role focuses on developing intelligent systems that enhance operational efficiency and drive innovation. The ideal candidate
- OfferTASKS AND EVERYDAY DUTIESCo – designs relevant value propositions for new business development opportunitiesDesign and set up digital customer journeys to support operations in new marketsIdentifies and forms partnerships with external partners and creates a strong network, acting as the company’s ambassadorActs as an idea generator for the business development strategyPromotes innovation and puts ideas in context of feasibility and market needsCommunOfferTASKS AND EVERYDAY DUTIESCo – designs relevant value propositions for new business development opportunitiesDesign and set up digital customer journeys to support operations in new marketsIdentifies and forms partnerships with external partners and creates a strong network, acting as the company’s ambassadorActs as an idea generator for the business development strategyPromotes innovation and puts ideas in context of feasibility and market needsCommun
- OfferThe ML Ops Engineer will be responsible for managing the deployment, monitoring, and maintenance of machine learning models in production environments. Reporting to the AI Solutions Manager, this role focuses on ensuring the scalability, reliability, and efficiency of AI solutions across the organization. The ideal candidate will have a strong background in machine learning operations, cloud infrastructure, and DevOps practices. Key Responsibilities:OfferThe ML Ops Engineer will be responsible for managing the deployment, monitoring, and maintenance of machine learning models in production environments. Reporting to the AI Solutions Manager, this role focuses on ensuring the scalability, reliability, and efficiency of AI solutions across the organization. The ideal candidate will have a strong background in machine learning operations, cloud infrastructure, and DevOps practices. Key Responsibilities:
