RC
ML Architect
Reuben Cooley, Inc.
Location not stated
Staff / Principal
1 week ago
- Machine Learning
- MLOps
- CI/CD
- Python
- scikit-learn
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Git
- SQL
1 week ago
We are looking for an experienced ML Architect to design, build, and lead scalable machine learning solutions. The ideal candidate will have strong expertise in ML architecture, model development, MLOps, cloud platforms, and production deployment.
Key Responsibilities:
- Design scalable and production-ready ML architectures and solutions.
- Lead development and deployment of machine learning models.
- Work with supervised, unsupervised, and deep learning techniques.
- Develop ML pipelines for data preparation, training, validation, and deployment.
- Implement MLOps practices for model lifecycle management.
- Optimize model performance, scalability, and reliability.
- Integrate ML models with APIs and enterprise applications.
- Collaborate with Data Scientists, Data Engineers, Software Engineers, and business teams.
- Establish best practices for model monitoring, governance, security, and versioning.
- Support cloud-based ML solutions and CI/CD pipelines.
- Strong experience in Machine Learning and ML architecture.
- Python, Scikit-learn, TensorFlow and/or PyTorch.
- Experience with ML pipelines and MLOps.
- Experience with AWS, Azure, or GCP.
- Knowledge of Docker, Kubernetes, CI/CD, Git.
- Experience with model deployment, monitoring, and optimization.
- Strong understanding of SQL, data engineering, and distributed systems.
- Excellent architecture, problem-solving, and communication skills.
ML Architect · Reuben Cooley, Inc.