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
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.