Take your skills to the next level at BMO as a Senior Machine Learning Engineer, with a hybrid work model in Toronto. Utilize your expertise in ML to derive business-critical insights from complex datasets.
This Senior Data
Scientist position requires a fusion of machine learning expertise and strong software engineering capabilities. You will design and deploy production-grade ML solutions and collaborate with various teams to scale analytical processes effectively. Technical leadership and mentoring junior members will enhance team performance and code quality. Key Responsibilities:
- Design and implement scalable ML models for diverse datasets
- Mentor team members on engineering best practices and coding standards
- Analyze data to provide actionable business insights
- Collaborate with analytics and engineering teams for robust solutions
- Conduct evaluations of emerging technologies for innovative applications Requirements:
- Profound knowledge of machine learning and deep learning techniques
- Advanced skills in Python programming and software engineering
- Experience with Git for version control and collaboration
- Excellent communication abilities across business functions
- Typically 5-7 years of skilled experience in data science Drive impactful data solutions and elevate your career at BMO as a Senior Machine Learning Engineer.
📌 Senior Machine Learning Engineer at BMO (Toronto)
🏢 BMO
📍 Toronto
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