Machine Learning Solutions 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 and natural language processing in

multilingual healthcare contexts

domain-specific tasks

performance across critical metrics

model performance

Qualifications

Required

models

(NLP), including transformer architectures

distributed training

benchmarks

fine-tuning techniques (LoRA, QLoRA, full fine-tuning)

augmentation strategies

Nice to Have