Production ML Engineer: End-to-End AI Systems

ExaCare AI; Stati Uniti; Ibrido; CAD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

exacare ai is seeking a hands-on Machine Learning Engineer to own the full ML lifecycle—from data creation and foundational research to deploying production-grade models. You will iterate quickly, prototype novel architectures, and employ cutting-edge techniques to impact real healthcare outcomes.

You will build scalable pipelines, track experiments, and deploy models with CI/CD. Strong emphasis on PyTorch, Python, and advanced ML tooling to optimize performance and reliability across production

Competenze

• 3+ years of building, training, and deploying ML models in production.
• Proficient in Python programming.
• Experience with modern deep learning frameworks (e.g., PyTorch).
• Hands-on with hyperparameter search/optimization tools (Optuna, Ray Tune).
• Strong emphasis on reproducible research and experiment tracking.

Mansioni

• Research, design, and implement novel ML solutions for business problems.
• Build and manage ML pipelines for rapid experimentation and testing.
• Track experiments using MLflow or Weights & Biases.
• Deploy models in production with CI/CD and model-serving frameworks.
• Monitor performance, drift, and reliability of deployed models.
• Apply techniques to optimize inference speed and memory usage.
• Create robust training data via dataset creation and augmentation.
• Stay current with state-of-the-art methods including LLMs.

Conoscenze

Experiment tracking

Hyperparameter optimization

Reproducible research

Model deployment

CI/CD for ML

Formazione

Bachelor's or Master's in CS/AI/Data Science

Strumenti

Python

PyTorch

MLflow

Weights & Biases

Optuna

Ray Tune

Docker

Kubernetes

Descrizione del lavoro

exacare ai is seeking a hands-on Machine Learning Engineer to own the full ML lifecycle—from data creation and foundational research to deploying production-grade models. You will iterate quickly, prototype novel architectures, and employ cutting-edge techniques to impact real healthcare outcomes.

You will build scalable pipelines, track experiments, and deploy models with CI/CD. Strong emphasis on PyTorch, Python, and advanced ML tooling to optimize performance and reliability across production