Kaseya Careers
Senior Staff Applied ML Engineer
Canada, Remote · Staff+
Sponsorship not specified$360k-$380kDetected 30 days ago
PythonSQLMachine LearningDeep LearningPyTorchPandasData AnalysisData ScienceLLMsRAGMLOpsAI OrchestrationA/B TestingCybersecurityLeadershipCommunicationCollaborationMentoringAdaptability
About the role
- Enable product teams: teach, coach, and guide them on data and ML best practices
Responsibilities
- Create, tune, and productionize ML models for:
- Design and implement AI-driven ingest flows that turn unstructured inputs (tickets, emails, forms, messages, logs, etc.) into well-structured data that models and downstream systems can use.
- Build workflows where AI can:
Requirements
- 5+ years in data science, ML engineering, or a similar applied role, with a strong record of shipping production data/ML features.
- Track record of mentoring junior engineers/analysts and improving team practices (e.g., review culture, testing, monitoring).
Nice to have
- Experience with LLMs and language-centric workflows (RAG, prompt engineering, fine-tuning, tool/agent orchestration).
- Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex, etc.) and production model monitoring.
- Prior experience in a platform/enablement role, supporting many product teams with shared data and ML capabilities.
Skills
- Strong Python skills and experience with pandas for data analysis.
- Experience with PySpark or other distributed data processing frameworks.
- Solid understanding of ML fundamentals, including:
- o Supervised learning and classification models
- o Matrix factorization / embeddings / latent factor models
- o Feature engineering and model evaluation (offline metrics and online experiments)
- Proficiency with PyTorch (or a similar deep learning framework) and related ML tooling.
- Strong SQL and experience with modern data warehouses / data lakes.
- Comfort working with APIs, microservices, and production integration of ML models, including performance and reliability considerations.
- Leadership & Collaboration
- Proven ability to translate business problems into data/ML projects, and to clearly explain tradeoffs to non-ML stakeholders.
Compensation
- The base salary range for this role is $360,000 to $380,000 CAD.
- Additional information
Company info
- o Proactively ask users/customers for missing or ambiguous information (e.g., via email or messaging).
Visa & Work Authorization
- oyees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other char
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