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Senior AI Business Automation Engineer - Signant Health
QA Engineer
Lead the design and deployment of AI‑driven automation solutions that streamline clinical trial operations, leveraging Python, machine learning, and AWS to deliver scalable, data‑centric workflows.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI automation pipelines that accelerate data collection, cleaning, and analysis for clinical trials.
- Collaborate with data scientists, clinicians, and product teams to translate business requirements into scalable machine‑learning models and automated workflows.
- Develop and maintain Python‑based services, integrating with AWS services (S3, Lambda, SageMaker, Step Functions) for robust, cloud‑native solutions.
- Design data pipelines that ingest heterogeneous data sources, ensuring data quality, governance, and compliance with regulatory standards.
- Monitor, troubleshoot, and optimize automated processes, providing actionable insights to improve operational efficiency.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong focus on automation and workflow orchestration.
- Proficiency in Python, SQL, and experience building production‑grade ML models.
- Hands‑on experience with AWS services (S3, Lambda, SageMaker, Step Functions, CloudWatch).
- Solid understanding of data engineering principles, ETL processes, and data governance.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningawsdata analysis