North Hires is looking for an AI Engineer to drive AI solutions applying Python, MLOps, and leading cloud platforms in production.
Requirements
- Proficient in scikit-learn, TensorFlow, REST API, Python, PyTorch, Prometheus, Pandas, NumPy, MLflow, Kubernetes, Kubeflow, Grafana, GitHub Actions, Git.
- Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).
- Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).
- Experience deploying models as REST APIs or batch jobs in production environments.
- Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.
- Tools like Prometheus, Grafana, or cloud-native monitoring solutions.
- Exposure to generative AI or LLM fine-tuning is a plus.
Responsibilities
- Programming: Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
- Cloud Platforms: Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).
- MLOps: Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).
- Deployment: Experience deploying models as REST APIs or batch jobs in production environments.
- Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.
- Monitoring & Logging: Tools like Prometheus, Grafana, or cloud-native monitoring solutions.
Other
- Full-time
- Remote: USA
- You have the potential to develop in Financial services.
- English - Conversational
- Experience in the banking or financial services domain.
- Knowledge of data privacy regulations (e.g., GDPR, PSD2).
- Certifications in Azure or AWS (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).
