Machine Learning Engineer
Core
Optimizing deep learning systems and enhancing predictive automation capabilities through hyperparameter tuning, statistical analysis, and model evaluation.
Role type
Machine Learning Engineer (Deep Learning)
Builds
Deep learning backends and self-running AI software for predictive automation
Domain
Artificial Intelligence / Deep Learning
Deliverable
production ML models
Required skills
Deep Learning, Python, JavaScript (TensorFlow JS), AWS SageMaker, TensorFlow/Keras/TensorBoard, data modeling, software architecture, math & statistics, Git/Github
Preferred skills
Natural Language Processing (NLP), Computer Vision, recommendation algorithms
Technologies
AWS SageMaker, S3, TensorFlow, Keras, TensorBoard, TensorFlow JS
Responsibilities
Consulting with managers to refine machine learning objectives; Designing deep learning systems and AI software; Transforming data science prototypes into production code; Performing data engineering tasks (collecting, labeling, cleaning, augmenting data); Training deep learning models and searching hyperparameters; Deploying models to cloud environments; Ensuring algorithm robustness and accuracy; Running tests and interpreting results; Documenting ML processes.
Seniority
Mid-level to Senior, hands-on IC
