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Browse Open JobsSenior Machine Learning Engineer I, AI Governance (Remote Canada)
Summary by AIEngineer.careers
Senior Machine Learning Engineer I, AI Governance (Remote Canada) is a Machine Learning Engineer role (full-time). with Python. in REMOTE, WORLDWIDE. Imported listing (source: hiresub.infinityfree.me). Apply on the employer's site (hiresub.infinityfree.me).
Imported listing (source: hiresub.infinityfree.me) · Apply on hiresub.infinityfree.me
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hiresub.infinityfree.me
We are seeking a Senior Machine Learning Engineer to join our AI Governance team at Optro, a leading audit and risk management platform. You will build AI/ML solutions using cutting-edge LLM techniques like RAG, fine-tuning, and prompt engineering. This is a remote role based in Canada.
Responsibilities
- Build, ship, and own product features end-to-end
- Apply classical ML and LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)
- Write well-designed, maintainable, and testable code
- Collaborate with designers and product managers
- Participate in Agile development lifecycle
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field
- 4+ years hands-on experience developing and deploying ML models
- Ability to write scalable production-quality code
- Proficiency in classical ML and LLMs
- Excellent programming skills in Python, Java, or similar
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
- Familiarity with search/information retrieval and ranking systems
Python
Beaverton · US · 207+ employees
The Python Software Foundation (PSF) is a nonprofit corporation that serves as the steward for the Python programming language. It manages intellectual property rights, supports the Python community, distributes the software, and funds development through grants and conferences like PyCon.
