Machine Learning Engineer
S
Spear AIAI Platform
United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- Several years
- Required Skills
- AWSDockerPythonCloud ComputingKubernetesMachine LearningPyTorchREST APICI/CD
Requirements
- Several years of experience with Python and machine learning frameworks
- Expertise in PyTorch for building and training neural networks
- Experience training and serving models in cloud environments (AWS, Azure, GCP)
- Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
- Experience with model optimization for production performance and scale
- Knowledge of Docker and Kubernetes for containerized deployments
- Familiarity with REST APIs and model serving frameworks
- Understanding of CI/CD pipelines for ML systems
- Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Responsibilities
- Design, train, and optimize machine learning models using PyTorch
- Deploy models to production environments in the cloud and at the edge
- Build and maintain ML pipelines for training, evaluation, and inference
- Integrate machine learning models into real-time and batch processing systems
- Optimize model performance for accuracy, latency, and resource constraints
- Implement model monitoring, versioning, and deployment strategies
- Work with signal processing data and time-series analysis
- Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
View Full Description & ApplyYou'll be redirected to the employer's site
