Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics Inc.11 months ago
Remote, CanadaSenior
Responsibilities
- Develop, train, optimize, and deploy ML models using Vertex AI, Vertex Pipelines, AutoML, and custom model training.
- Design scalable ML 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.
- Build advanced generative AI systems with graph-based hybrid RAG, multimodal agents, agentic frameworks, fine-tuning, and distillation.
- Use GCP services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, GCS, Cloud Run, Dataproc, and Cloud Storage in ML workflows.
- Monitor model performance and implement alerting, retraining triggers, and drift detection.
- Implement model governance, versioning, explainability, security, and reliable ML lifecycle practices.
- Design and build RESTful APIs with FastAPI or Flask, including authentication, logging, and performance optimization.
- Document architecture decisions, workflows, and model lifecycle processes for internal stakeholders.
Requirements
- Advanced experience with RAG, including graph-based hybrid retrieval, multimodal agents, ADK, and LangChain agentic frameworks.
- Experience with fine-tuning and distillation.
- Expert Python skills with strong object-oriented and functional programming capabilities.
- Proficiency with TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and PySpark.
- Production-grade coding, testing, and performance optimization experience.
- Proficiency with GCP 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 and integrating ML models for real-time inference.
- Experience designing scalable, fault-tolerant AI systems and developing distributed systems and asynchronous processing.
Benefits
- Remote work arrangement.
- Significant career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment.
- 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.