Senior Machine Learning Engineer
Core
Building and scaling the next generation of machine learning models and training/serving infrastructure for an industrial AI platform focused on asset reliability.
Role type
Senior hands-on IC machine learning engineer (industrial AI)
Builds
Scalable ML training and inference infrastructure, high-quality predictive models for industrial diagnostics
Domain
Industrial AI / Asset Reliability / IoT
Deliverable
production ML models | infrastructure
Required skills
Machine learning algorithms (supervised/unsupervised/ranking), distributed systems, TensorFlow, PyTorch, Spark ML, scikit-learn, code review, mentoring
Preferred skills
On-prem ML deployment, observability, real-time time series data processing (sensor/IoT)
Responsibilities
Lead engineering initiatives for ML platform enhancement, build scalable distributed infrastructure for training and inference, evaluate technical tradeoffs, perform code reviews, mentor junior engineers
Seniority
Senior, hands-on IC
