ML Engineer – ASR

Job not on LinkedIn

🔥 12 hours ago

🇬🇷 Greece – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KIEFER

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

KIEFER is an energy technology company focused on developing and delivering technologies that improve the production, storage, distribution, or efficiency of energy systems. The company works at the intersection of engineering and energy innovation to provide solutions for utilities, industrial operators, and other energy stakeholders aiming to reduce costs, increase reliability, and lower environmental impact.

📋 Description

• Improve automatic speech recognition (ASR) for Sophea Meet • Own the improvement loop from data and model experiments through evaluation and production performance • Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs • Build representative benchmarks and regression tests for real meeting audio • Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology • Use error analysis to determine which model, data, or pipeline changes improve transcription quality • Improve inference accuracy, latency, throughput, reliability, and cost • Deploy and monitor model versions with Engineering • Work with Product to set quality goals and prioritize improvements • Prioritize additional languages, starting with Greek, based on usage and product needs

🎯 Requirements

• 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results • Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved • Experience training, fine-tuning, or adapting deep learning models using real-world audio data • Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing • Strong Python skills • Hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework • Solid software engineering skills • Experience deploying, monitoring, and maintaining production ML systems • Multilingual ASR, accent robustness, domain adaptation, or diarization experience is nice to have • Streaming speech recognition and low-latency inference experience is nice to have • MLOps, evaluation, or data pipelines for speech systems experience is nice to have • Experience with meeting transcription, voice agents, or enterprise speech products is nice to have

🏖️ Benefits

• Competitive package aligned with talent benchmarks • Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications • AI-native environment with challenges across model development, evaluation, and production AI systems • Engineering-first culture • High autonomy • Low bureaucracy • Space to shape meaningful AI products