Machine Learning Engineer (Canada)
Tiger Analytics Inc.4 years ago
Toronto, CanadaSenior
Responsibilities
- Deploy, execute, validate, monitor, and improve data science solutions.
- Create scalable, highly performant machine learning systems.
- Build reusable production data pipelines for machine learning models.
- Write production-quality code and libraries that can be packaged as containers, installed, and deployed.
- Collaborate with data engineers and data scientists to build data and model pipelines and run machine learning tests and experiments.
- Manage the infrastructure and data pipelines required to bring machine learning solutions into production.
- Troubleshoot production machine learning model issues and recommend retraining, revalidation, and improvements.
- Communicate problem context effectively with remote global teams.
Requirements
- Bachelor's degree or higher in computer science or a related field.
- 5+ years of work experience.
- Experience with big data projects involving structured and unstructured data.
- Proficiency with Python, Spark, Hadoop, Docker, SQL, statistical tools, relational databases, and cloud environments.
- Experience with model evaluation, experimental design, and continuous integration contexts.
- Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, and Keras is preferred.
- Knowledge of MLflow, Airflow, Kubernetes, and cloud-native MLaaS offerings such as AWS SageMaker, Azure ML, or Google AI Platform is preferred.
- Strong communication, teamwork, collaboration, troubleshooting, and scalable production machine learning skills.
Benefits
- Significant career development opportunities as the company grows.
- Small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
- Full-time, on-site position in Toronto, Canada.
Tech Stack
Apache AirflowApache HadoopApache SparkDockerKerasKubernetesMLflowpytestPythonscikit-learnSQLTensorFlow
Categories
Data EngineeringML Engineering
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.