AI Engineer (Speech & NLP Systems) at Tietoevry1

At Tieto, we are looking for an AI Engineer (Speech & NLP Systems) to join our team and contribute to the development of intelligent voice and conversational AI solutions. We are seeking a motivated professional with experience in Speech Technologies, Natural Language Processing, Machine Learning, or related fields, eager to work in an innovative, collaborative, and fast-paced technological environment. In this role, you will help enhance the robustness, intelligence, and real-world performance of our speech and language systems, enabling seamless and reliable user interactions across our platforms. You will work on end-to-end speech and NLP pipelines, including ASR, NLU, and intent/slot models, while collaborating closely with QA and platform teams to ensure scalable, optimized, and production-ready solutions. Responsibilities • Design and enhance speech recognition and natural language processing solutions, including ASR, NLU, and intent/slot detection pipelines • Improve system performance in real-world environments, considering noise, accents, and diverse user interactions • Support the development of language understanding capabilities and conversational flows • Optimize AI models to achieve efficient latency and resource usage • Define and execute evaluation methodologies to measure speech and NLP model quality • Collaborate closely with QA and platform teams to ensure stable and reliable production deploymentsQualifications • Proven experience working with speech technologies and/or NLP systems • Hands-on experience with ASR and NLU architectures and pipelines • Knowledge of model evaluation processes and dataset preparation/curation • Strong programming skills in Python and experience with machine learning frameworks • Understanding of deployment challenges and production environment constraints • Experience developing voice assistants or conversational AI solutions • Familiarity with Edge AI or embedded machine learning environments • Experience working with multilingual NLP models or locale-specific language solutionsNice to Have • Experience improving speech systems for noisy or low-resource environments • Knowledge of conversational AI optimization and dialog management strategies • Exposure to scalable AI deployment and monitoring practices • Strong analytical and problem-solving skills • Proactive mindset and ability to work collaboratively in cross-functional teams