Tietoevry

Computer Software

AIEngineer(Speech&NLPSystems)

Lisbon, Lisbon, Portugal FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“AI Engineer (Speech & NLP Systems) at Tietoevry. Skills: Speech Technologies, Natural Language Processing, Machine Learning, ASR, NLU. 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”

What You'll Achieve.

enhance the robustness, intelligence, and real-world performance of our speech and language systems; enabling seamless and reliable user interactions across our platforms; ensure scalable, optimized, and production-ready solutions; ensure stable and reliable production deployments

Industry & Context.

Computer Software
Problems you'll solve

analytical and problem-solving skills

What They're Looking For.

Must Have

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, programming skills in Python, 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 solutions

Nice 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, analytical and problem-solving skills, Proactive mindset and ability to work collaboratively in cross-functional teams

What You'll Do.

Design and enhance speech recognition and natural language processing solutions

and intent/slot detection pipelines

Improve system performance in real-world environments

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

How You'll Work.

Team & Collaboration

collaborating closely with QA and platform teams to ensure scalable, optimized, and production-ready solutions; Collaborate closely with QA and platform teams to ensure stable and reliable production deployments; ability to work collaboratively in cross-functional teams

Full Job Description

At Tieto , we are looking for anAI 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 deployments Qualifications * 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 wi

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