Machine Learning Engineer
Core
Design, prototype, and build ML models (recommendation, forecasting, NLP, computer vision) and take them from proof-of-concept to production deployment.
Role type
Machine Learning Engineer
Builds
Production ML models, data pipelines, training workflows, and model serving infrastructure
Domain
Technology / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, data pipelines, feature engineering, model deployment, cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), MLOps (CI/CD, versioning, experiment tracking)
Preferred skills
N/A
Technologies
PyTorch, TensorFlow, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Design and build ML models; deploy models to production; collaborate with HQ and APAP teams on architecture and localization; monitor and maintain model performance; contribute to MLOps best practices
Seniority
Mid-level, hands-on IC