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Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1-10Since 2017H1B No SponsorCompany Site LinkedIn

Location

Michigan

Posted

141 days ago

Salary

$1,500K / year

5 yrs expEnglishAirflowAWSAzureCloudDockerEC2GrafanaKubernetesNumpyPandasPrometheusPythonPy TorchScikit LearnTensorflow

Job Description

• Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation). • Deploy and manage models in production using Azure ML and AWS SageMaker. • Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows. • Build and maintain CI/CD pipelines for ML model deployment and monitoring. • Ensure compliance with data governance, security, and regulatory standards. • Optimize model performance and resource usage in cloud environments. • Document processes, models, and deployment strategies for internal knowledge sharing.

Job Requirements

5+ years of experience
Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
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.
Experience in the banking or financial services domain.
Knowledge of data privacy regulations (e.g., GDPR, PSD2).