remote
ML Engineer GCP - Finance Data & AI Platform - BizTech Fusion
ML Engineer
ML Engineer focused on GCP, designing and deploying scalable machine learning solutions for enterprise finance platforms, including forecasting, KPI intelligence, and semantic modeling.
About the role
Key Responsibilities
- Design, develop, and operationalize end‑to‑end ML pipelines on Google Cloud Platform, leveraging BigQuery, Vertex AI, and Dataflow.
- Implement robust feature engineering workflows and maintain feature stores for finance analytics use cases.
- Collaborate with data scientists and finance domain experts to translate business requirements into model specifications and KPI dashboards.
- Deploy and monitor models in production, ensuring high availability, scalability, and compliance with data governance policies.
- Automate MLOps processes using CI/CD pipelines, containerization, and infrastructure-as-code tools.
Requirements
- Proven experience building production‑grade ML solutions on GCP.
- Strong programming skills in Python and familiarity with TensorFlow/PyTorch.
- Hands‑on expertise in GCP data services (BigQuery, Cloud Storage, Pub/Sub) and Vertex AI.
- Solid understanding of finance data structures, forecasting, and KPI reporting.
- Experience with MLOps best practices, including model versioning, monitoring, and automated retraining.