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Artificial Intelligence / Machine Learning Engineer Specialist - Connect Tech Talent
ML Engineer
Seasoned AI/ML Engineer with 6+ years building and deploying large‑scale anomaly detection, root‑cause analysis, and data reconciliation pipelines using Python, PyTorch, Scikit‑learn, and Azure Machine Learning in regulated environments.
About the role
Key Responsibilities
- Design, develop, and productionize end‑to‑end machine‑learning pipelines for large‑scale data reconciliation and anomaly detection.
- Build, train, and optimize models for root‑cause analysis and exception classification using PyTorch and Scikit‑learn.
- Implement and maintain Azure Machine Learning and Azure data platform services (Data Lake, Synapse, Databricks) to support scalable model deployment.
- Collaborate with data engineers, domain experts, and compliance teams to ensure models meet regulatory and security standards.
- Monitor model performance in production, conduct drift analysis, and iterate improvements.
Requirements
- 6+ years of hands‑on experience developing AI/ML pipelines in regulated financial or government settings.
- Proficiency in Python and deep‑learning frameworks such as PyTorch, plus classic ML libraries like Scikit‑learn.
- Strong expertise with Azure Machine Learning, Azure Data Lake, Synapse, and related data engineering tools.
- Demonstrated ability to build anomaly‑detection, root‑cause analysis, and classification models at scale.
- Excellent problem‑solving skills and ability to work independently in a hybrid or fully remote environment.