TS/SCI w/Poly - AI/ML Data Engineer
Core
Build and optimize multilingual machine translation models and data pipelines for Human Language Technologies (HLT) to support text and audio translation capabilities.
Role type
Senior AI/ML Data Engineer (NLP/Translation)
Builds
Custom ML models for translation, scalable data pipelines, and cloud-native ML solutions for low-resource languages.
Domain
Defense/Security, Natural Language Processing, Machine Learning
Deliverable
production ML models
Required skills
Python, AWS (SageMaker, Bedrock, Lambda), Docker, MLOps, CI/CD, statistical analysis, machine learning, deep learning, data engineering
Preferred skills
Transformer models (NLLB, Opus-MT, MarianMT), Hugging Face, Ray, PyTorch Distributed, MLflow, W&B, DVC, LLMs, audio processing (Librosa, PyAudioAnalysis)
Technologies
AWS SageMaker, Bedrock, Step Functions, Lambda, S3, EC2, VPC, Docker, PyTorch, TensorFlow, Hugging Face, Ray, MLflow, Weights & Biases, DVC, spaCy, NLTK, Librosa
Responsibilities
Develop and fine-tune multilingual machine translation models; Build and manage multilingual text and speech datasets; Design and maintain scalable data pipelines and MLOps workflows; Deploy cloud-native ML solutions using AWS services; Engineer features to optimize model performance; Research and evaluate emerging AI/NLP/speech technologies.
Seniority
Senior, hands-on IC