AI Engineer (Speech & NLP Systems)

About Welvaart

At Welvaart, we create technology solutions that put people at the center.
Our close leadership style and flexible culture of growth empower our teams and elevate the quality of our delivery. We combine rigor, innovation, and empathy to drive projects that transform businesses and build lasting relationships of trust.

We complement this vision with a performance‑driven Digital Marketing offering, helping companies strengthen their visibility, enhance their online presence, and accelerate growth through smart, measurable strategies.

Project

You will develop and integrate end-to-end speech and NLP pipelines, including ASR, NLU, and intent/slot models, enabling natural and reliable interactions within our platforms. You will focus on improving system resilience across noise conditions, accents, and diverse real-world usage while supporting language understanding and dialog behavior.

Working closely with QA and platform teams, you will optimize models for latency and resource constraints, define evaluation strategies for speech and NLP quality, and ensure solutions are production-ready in constrained or embedded environments. Your work will directly enhance how users interact with our systems through voice and conversational experiences.

If you are passionate about building intelligent voice-driven systems and turning complex speech and language challenges into seamless user experiences, this may be your next mission.

Role

• Develop and integrate speech and NLP pipelines (ASR, NLU, intent/slot models).
• Improve robustness across noise, accents, and real-world usage.
• Support language understanding and dialog behavior.
• Optimize models for latency and resource constraints.
• Define evaluation strategies for speech and NLP quality.
• Collaborate with QA and platform teams to ensure production reliability.

We are looking for

• Strong experience with speech or NLP systems.
• Hands-on knowledge of ASR / NLU pipelines.
• Experience with model evaluation and dataset curation.
• Strong Python skills and ML frameworks.
• Understanding of real-world deployment constraints.
• Experience with voice assistants or conversational systems.
• Edge AI or embedded ML experience.
• Multilingual or locale-specific NLP experience.

What you can discover with us?

• Be part of a tech start-up
• Different scopes of project in different sectors
• Structure of fairness and equity salary (Consultant Profile)
• Training & Certification
• Career Path management
• More than 30 Partnerships

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