Senior Machine Learning Engineer (GCP)
Tiger Analytics Inc.1 year ago
Remote, CanadaSenior
Responsibilities
- Develop, train, optimize, and deploy ML models using Vertex AI, Vertex Pipelines, AutoML, and custom model training.
- Build scalable pipelines for feature engineering, training, evaluation, deployment, and reproducible ML workflows.
- Deploy models to Vertex AI endpoints and integrate them with downstream applications and APIs for real-time inference.
- Monitor model performance and implement alerting, retraining triggers, drift detection, governance, versioning, explainability, and security practices.
- Use GCP services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, Cloud Storage, Cloud Run, and Dataproc in ML workflows.
- Apply CI/CD practices to ML systems using Vertex AI Pipelines and Cloud Build.
- Design and build scalable AI systems, distributed systems, microservices, asynchronous processing, and production inference APIs.
- Document architecture decisions, workflows, and model lifecycles for internal stakeholders.
Requirements
- Advanced experience with generative AI, graph-based hybrid RAG, multimodal agents, ADK, and LangChain agentic frameworks.
- Experience with fine-tuning and model distillation.
- Expert Python skills, including object-oriented and functional programming, production-grade code, testing, and performance optimization.
- Proficiency with TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and PySpark.
- Strong knowledge of GCP architecture and services, including Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Dataproc, Dataflow, IAM, and VPC.
- Experience designing and building APIs with FastAPI or Flask, including authentication, logging, and performance optimization.
- Experience designing scalable and fault-tolerant end-to-end AI systems and developing distributed systems, microservices, and asynchronous processing.
Benefits
- Remote work arrangement in Canada.
- Significant career development opportunity in a fast-growing, challenging entrepreneurial environment with a high degree of individual responsibility.
Tech Stack
Categories