ML Research & Production Engineer

Who You Are

You're an ML Research Engineer with 2+ years of experience who bridges the gap between

cutting-edge research and production systems. You're passionate about training models that

perform exceptionally well not just on benchmarks but in real-world applications. You enjoy

diving deep into model architectures, experimenting with training techniques, and building

robust evaluation frameworks that ensure model reliability in critical applications.

Responsibilities

• Train and fine-tune models for speech recognition (ASR) or NLP tasks including intent

classification, Named Entity Recognition (NER), and entity linking to knowledge bases in

multilingual healthcare contexts

generation to address multilingual and low-resource challenges

performance across precision, recall, F1, and domain-specific benchmarks

model performance on ASR, NER, intent classification, or entity linking tasks

architecture experiments for production deployment

ensure reliability in critical healthcare applications

Qualifications

Required

models

(NLP), including transformer architectures

hands-on experience building these components

distributed training

benchmarks

models for NER / intent classification (BERT, RoBERTa, BiLSTM-CRF)

knowledge base integration methods

augmentation strategies

Nice to Have

ontologies)