BMO Financial Group is looking to leverage advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data to obtain insights, design new processes for modeling data, develop predictive models, and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Requirements
- In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
- Experience with GenAI LLM models
- Experience with MLOps, building workflows for model retraining, monitoring and deploying
- Experience with ML frameworks such as TensorFlow, PyTorch
- Experience with cloud-based data platforms such as AWS or Azure
- Experience with data visualization tools such as Power BI
- Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
Responsibilities
- Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
- Designs and constructs new processes for modeling data.
- Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
- Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
- Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Develops machine learning/deep learning models.
- Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Other
- Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
- Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
- Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
- Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
- Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
