Sr Machine Learning Engineer - AI
Core
Developing and deploying efficient small language models (SLMs) for real-world AI applications, focusing on model fine-tuning, optimization, and production deployment.
Role type
Senior Machine Learning Engineer (AI/Model Optimization)
Builds
Efficient small language models, MLOps pipelines, and production-ready AI systems for edge and mobile environments.
Domain
Artificial Intelligence, Machine Learning Engineering, Edge Computing
Deliverable
production ML models
Required skills
Small language model fine-tuning, adapter-based techniques (LoRA, QLoRA, PEFT), model optimization (quantization, pruning, knowledge distillation), edge/mobile deployment, end-to-end MLOps pipeline design, production model monitoring, model evaluation and benchmarking
Preferred skills
ONNX export, cross-platform inference, experiment tracking, model registries, ML-focused CI/CD
Technologies
Hugging Face, TRL, LoRA, QLoRA, PEFT, ONNX
Responsibilities
Fine-tune and train small language models using adapter-based techniques; Optimize models for efficient inference via quantization and pruning; Deploy models to edge devices and mobile platforms; Build end-to-end MLOps pipelines; Establish model evaluation frameworks; Monitor production models for accuracy and latency.
Seniority
Senior, hands-on IC