Audio ML Engineer

Experis ManpowerGroup Sp. z o.o.; Wrocław; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading technology recruitment firm is looking for an experienced ML Engineer in Wrocław for a 100% remote position. You will deliver ML models focusing on audio technologies, handle service and API engineering, and ensure robust performance optimizations. Candidates should have over 5 years of relevant experience, especially in Generative AI and voice-based applications. Competitive compensation includes a healthcare package and benefits.

Benefits

Medicover healthcare package

Multisport card

Access to an e-learning platform

Group life insurance

Qualifications

• 5+ years of experience in ML engineering focused on audio and voice technologies.
• Strong background in Generative AI and Voice-based Conversational AI.
• Experience in service & API engineering, performance optimization, and observability tools.

Responsibilities

• Own the delivery of ML models, acting as a bridge between teams.
• Architect and implement streaming audio services including ASR and TTS.
• Validate hardware/software compatibility across environments.

Skills

ML engineering

Generative AI

Voice-based Conversational AI

Service & API engineering

Performance optimization

Job description

Overview

Location: 100% remote

Salary: 200-300 PLN net/h onB2B

Responsibilities

• Own the delivery of ML models, acting as a bridge between Applied Science and Engineering teams.
• Architect and implement streaming audio services including ASR, TTS, VAD, and Diarization.
• Validate hardware/software compatibility across development and production environments (e.g., GPU types, OS, dependencies, audio I/O, codecs).
• Enforce rigorous testing protocols to ensure service-level awareness (stress/soak testing, quality preservation, latency consistency).
• Manage releases of new model versions, including rollback capabilities and integration consistency across components.
• Implement performance optimizations such as load management, dynamic batching, and caching.
• Develop observability systems including structured logging, tracing, health checks, alerting, and actionable metric dashboards.

Requirements

Must Have:

• 5+ years of experience in ML engineering, with a focus on audio and voice technologies.
• Strong background in Generative AI (LLMs, TTS) and Voice-based Conversational AI.
• Proven experience in service & API engineering, streaming implementation, hardware/software compatibility validation, stress testing and latency optimization, model release management and rollback strategies, and integration impact assessment on end-to-end behavior.

Nice to Have:

• Experience with performance optimization techniques (load management, batching, caching).
• Familiarity with observability tools and practices (logging, tracing, alerting, dashboards).

Offer

• Medicover healthcare package
• Multisport card
• Access to an e-learning platform
• Group life insurance