Senior ML Engineer, Speech & LLM Data Pipelines

Propio Language Services; Overland Park (KS); On-site; USD 100,000 - 170,000; Full time

Job summary

Propio Language Services is seeking aSenior Machine Learning Engineer, Speech & LLM Training Data, to lead data pipelines for multilingual audio, annotation, and evaluation for our conversational AI systems. You will own end-to-end data workflows, from collection and curation to QA and dataset versioning, across our healthcare, legal, and enterprise customers.

The role blends hands-on ML engineering with data governance on AWS, using PyTorch, HuggingFace, and audio tools to build secure,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, Computational Linguistics, or related field, or equivalent practical experience.
• 5+ years of experience in ML engineering, speech/audio ML, ML data engineering, NLP, or LLM training-data workflows.
• Strong hands-on experience with Python, SQL, Linux, Git, and Docker.
• Experience training or evaluating models using PyTorch, Hugging Face, or comparable ML frameworks.
• Experience with FFmpeg and audio-processing libraries such as TorchCodec, torchaudio, librosa, or equivalent tools.
• Experience with speech-processing tasks such as VAD, diarization, ASR, forced alignment, language identification, and audio-quality analysis.
• Experience with Databricks/Spark, Parquet/Arrow, and large-scale dataset pipelines.
• Working knowledge of AWS S3, SageMaker, Glue, Step Functions, IAM, and KMS.
• Experience with an annotation platform such as Labelbox, Label Studio, Scale AI, Prodigy, Argilla, or custom internal tooling.
• Experience with experiment tracking and data versioning tools such as MLflow, Weights & Biases, DVC, Delta Lake, or LakeFS.
• Experience with multilingual speech, translation, annotation workflows, and evaluation datasets.

Responsibilities

• Define the data roadmap for multilingual speech, translation, multimodal LLMs, and conversational AI.
• Build audio-processing pipelines covering resampling, channel handling, VAD, diarization, language identification, transcription, alignment, and quality filtering.
• Build dataset pipelines for cleaning, deduplication, PII/PHI redaction, quality scoring, sampling, balancing, versioning, and lineage.
• Design annotation guidelines, QA rubrics, golden datasets, and reviewer workflows.
• Build evaluation datasets, analyze model failures, and translate performance gaps into targeted data improvements.
• Run training, fine-tuning, post-training, and evaluation experiments, including SFT, preference data, DPO/RLHF-style workflows, and synthetic data generation.
• Productionize secure, traceable, and reproducible data and ML workflows on AWS.

Skills

Python

SQL

Linux

Git

Docker

PyTorch

Hugging Face

ML data engineering

Education

Bachelor’s or Master’s in CS/ML/Data Science/EE/Computational Linguistics

Tools

FFmpeg

torchaudio

librosa

Label Studio/Labelbox

MLflow/Weights & Biases

Job description

Propio Language Services is seeking aSenior Machine Learning Engineer, Speech & LLM Training Data, to lead data pipelines for multilingual audio, annotation, and evaluation for our conversational AI systems. You will own end-to-end data workflows, from collection and curation to QA and dataset versioning, across our healthcare, legal, and enterprise customers.

The role blends hands-on ML engineering with data governance on AWS, using PyTorch, HuggingFace, and audio tools to build secure,