remote
Machine Learning / AI Engineer - System One
ML Engineer
Experienced Machine Learning/AI Engineer with 5–10 years in data science, model development, and AI governance, skilled in Python, TensorFlow/PyTorch, MLOps pipelines, and cloud platforms such as AWS.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models for a variety of business use cases.
- Implement end‑to‑end MLOps pipelines, including data versioning, model training, CI/CD, and monitoring.
- Collaborate with cross‑functional teams to define AI governance policies, ensure model fairness, transparency, and compliance.
- Evaluate emerging AI technologies and integrate suitable tools (e.g., large language models, generative AI) into production workflows.
- Optimize model performance and cost efficiency on cloud infrastructure, primarily AWS.
Requirements
- 5–10 years of professional experience in data science and machine learning engineering.
- Proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with MLOps tools (e.g., Kubeflow, MLflow, Docker, Kubernetes) and cloud services (AWS).
- Strong understanding of AI governance, model risk management, and compliance considerations.
- Ability to work remotely in the United States and pass background and credit checks.
Skills
pythontensorflowpytorchmlopsaws