ML/AI Engineer
Há 2 dias
Who we are: Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems. We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers. With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. Neotalent, the responsive people. Find out more about us at Role Overview: We are looking for an ML/AI Engineer to join one of our Nearshote teams working on projects for international clients accross The Netherlands, Germany and other European locations. You will work on innovative projects that bring Artificial Intelligence and Machine Learning solutions from development to production. The work can be done fully remotely from Portugal or from our offices in Lisbon or Porto, depending on your preference. What you will do Design and implement end-to-end AI/ML solutions for enterprise clients. Develop and maintain MLOps pipelines and frameworks to streamline model deployment. Collaborate with data scientists, cloud engineers, and developers to productionise models. Work on cutting-edge projects such as GenAI solutions for document processing and optimisation models for logistics and workforce planning. Ensure solutions are scalable, secure, and aligned with best practices in cloud and containerisation. What you are like Proficient in Python, with strong knowledge of object-oriented programming, algorithms, and data structures. Experienced in CI/CD, Git, and software engineering best practices. Skilled in at least one major cloud platform (Azure, AWS, or GCP) and Infrastructure as Code tools (Terraform, Bicep, CDK). Comfortable with containerisation technologies (Docker, Kubernetes) and MLOps frameworks (MLflow, Kubeflow, Azure ML). Adept at switching between tech stacks and quickly mastering new technologies. Excellent communicator with strong command of English. Why join us Work on challenging projects for big clients. Learn more about emerging technologies. Possibility of working remotely. Design your career plan. Access to continuous training and certifications. Evolve through our internal mobility programme. … and much more
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