Machine Learning Engineer
Core
Developing and integrating machine learning and deep learning models on large datasets (audio, sensors, images, videos, text) for applications in finance, healthcare, e-commerce, and other domains.
Role type
Machine Learning Engineer
Builds
Production ML models and large-scale data analytics systems
Domain
AI, Computer Vision, NLP, Biomedical Signal Processing, Cloud Computing
Deliverable
production ML models
Required skills
Machine learning, deep learning, natural language processing, image/signal/video processing, Python, C/C++, R, Java, software engineering concepts, statistical methods, feature engineering
Preferred skills
Distributed systems, cloud-based systems, systems engineering, project management, mentoring
Technologies
Tensorflow, Jax, Keras, scikit-learn, pyTorch, Hadoop, Spark, Amazon EC2, Dataflow
Responsibilities
Applying ML and signal processing to develop models, architecting data analytics systems, designing ML methods, analyzing data, evaluating new ML methods, feature engineering
Seniority
Mid-level (3+ years experience)
