What are the responsibilities and job description for the Data Architect with AWS Sagemaker/Python/MLFLOW/AIRFLOW/METAFLOW_Columbus, OH_GC/USC Needed_Only on W2 position at Chelsoft Solutions Co.?
Data Architect
Location: Columbus, OH
Required Skills : AWS Sagemaker... experience with Metaflow or something similar like MLFLow or Airflow, etc. This person will be migrating their models from AWS Sagemaker. Python.
Responsibilities
Location: Columbus, OH
Required Skills : AWS Sagemaker... experience with Metaflow or something similar like MLFLow or Airflow, etc. This person will be migrating their models from AWS Sagemaker. Python.
Responsibilities
- Build and maintain secure, scalable infrastructure for ML model training, testing, and deployment using open-source tools.
- Create reusable deployment templates that standardize the path to production across teams.
- Translate prototype models into resilient, monitored, and observable production systems.
- Implement guardrails and controls that ensure compliance with internal standards (e.g., SR 11-7, ISO 42001).
- Partner with data scientists to simplify onboarding to platform capabilities.
- Establish CI/CD pipelines with hooks for testing, scanning, and validation of model code and artifacts.
- Serve as a technical lead for cross-functional delivery efforts involving model onboarding and platform integration.
- 6 years of experience in software, data, or ML engineering roles.
- Strong hands-on experience with tools like MLflow, Metaflow, Airflow, or similar orchestration frameworks.
- Production experience with Kubernetes, Docker, and Helm.
- Deep understanding of Python and software engineering best practices.
- Experience implementing CI/CD pipelines and infrastructure-as-code in a cloud or hybrid environment.
- Experience working in regulated industries or environments with strong risk and compliance expectations.
- Familiarity with open-source model monitoring, drift detection, or lineage tools (e.g., Evidently AI, Feast, LakeFS).
- Hands-on experience serving models using KServe, Ray Serve, or Triton Inference Server.
- Familiarity with enterprise security tools like Trivy, Aqua, or Snyk for code and container scanning.
- Exposure to LLM/RAG architecture or GenAI platform integration.