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AI Software Engineer

Joinhyra — Germany · Posted ~2 hours ago

Senior

Skills

applied machine learning model engineering Generative AI PyTorch model training fine-tuning model evaluation data pipelines model compression quantization pruning hardware-aware optimization model documentation machine learning

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Summary ✨ AI‑Generated

An experienced AI Software Engineer is sought to develop and refine edge Generative AI models for intelligent voice and mobility applications. You will select and adapt foundation models, build reproducible training, fine-tuning, and evaluation pipelines, and implement compression techniques such as quantization and pruning. You will also collaborate on hardware-aware model variants and document model decisions for compliance and auditability. A degree in Computer Science, Engineering, or a related field and extensive applied ML experience are expected.

Highlights

Develop and optimize Generative AI models for intelligent voice and mobility applications. The role combines applied machine learning, reproducible training and evaluation pipelines, efficient inference, hardware-aware optimization, and rigorous model documentation.

Description

A large automotive technology business is looking for an experienced specialist to join the team. This role focuses on developing and refining edge Generative AI models for intelligent voice assistants and personal mobility tasks. The successful candidate will deliver customer impact through innovative model engineering and the creation of robust data pipelines. What you'll be doing • Selecting and adapting base models for voice assistant and intelligence tasks • Producing reproducible training, finetuning, and evaluation pipelines to refine models • Implementing compression strategies such as quantization and pruning for efficient inference • Collaborating with performance engineers on hardware-aware model variants • Documenting design choices and model cards for compliance and audit purposes What we're looking for • Degree in Computer Science, Engineering, or a related field • Extensive experience in applied machine learning and model engineering • Proficiency in PyTorch and Transformers frameworks • Expertise in model compression and fine-tuning of small Generative AI models • Knowledge of edge device constraints such as RAM, bandwidth, and cache What's on offer • Performance-related remuneration and annual special payments • Flexible working hours and hybrid working options • Extensive personal and professional development opportunities • Comprehensive leave package including six weeks of annual leave • Employee discounts on products and services Apply via Hyra to be considered for this opportunity.