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
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Design and enhance speech recognition and natural language processing solutions, including ASR, NLU, and intent/slot detection pipelines
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Improve system performance in real-world environments, considering noise, accents, and diverse user interactions
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Support the development of language understanding capabilities and conversational flows
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Optimize AI models to achieve efficient latency and resource usage
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Define and execute evaluation methodologies to measure speech and NLP model quality
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Collaborate closely with QA and platform teams to ensure stable and reliable production deployments
Qualifications
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Proven experience working with speech technologies and/or NLP systems
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Hands-on experience with ASR and NLU architectures and pipelines
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Knowledge of model evaluation processes and dataset preparation/curation
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Strong programming skills in Python and experience with machine learning frameworks
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Understanding of deployment challenges and production environment constraints
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Experience developing voice assistants or conversational AI solutions
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Familiarity with Edge AI or embedded machine learning environments
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Experience working with multilingual NLP models or locale-specific language solutions
Nice to Have
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Experience improving speech systems for noisy or low-resource environments
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Knowledge of conversational AI optimization and dialog management strategies
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Exposure to scalable AI deployment and monitoring practices
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Strong analytical and problem-solving skills
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Proactive mindset and ability to work collaboratively in cross-functional teams