Contract (W2 Only) - Senior AI / ML Engineer (Financial Services)

Role: Senior Machine Learning Engineer (Consulting – Financial Services) Project Duration: Initial 6 Months (Extension highly likely) Location: Remote (U.S. based) – occasional onsite in New York or Chicago preferred Start Date: ASAP Language: English Key Responsibilities: • Design, deploy, and maintain scalable ML pipelines across financial and enterprise clients using GCP Vertex AI and Databricks ML. • Lead modernization of existing data and model workflows for automation, reproducibility, and compliance. • Integrate MLOps best practices including continuous training, versioning, and monitoring for drift detection. • Collaborate with data, DevOps, and analytics teams to deliver production-grade AI systems. • Ensure model governance, explainability, and adherence to financial regulatory frameworks (SR 11-7, NIST). • Optimize ML model performance, latency, and observability across multiple client environments. Requirements: • 7+ years of experience in data science, ML engineering, or AI system design. • Strong Python skills with hands-on experience in TensorFlow, PyTorch, and XGBoost. • Proven expertise in Databricks, Vertex AI, and Kubeflow Pipelines. • Solid understanding of Docker, Kubernetes, and CI/CD (GitHub Actions, Jenkins). • Experience delivering compliant AI solutions for financial institutions or large enterprises. • Excellent collaboration and communication skills in client-facing environments.