Machine Learning Engineer, Specialist

4 weeks ago


Toronto, Ontario, Canada Vanguard Full time

As a Machine Learning Engineer at Vanguard, you will collaborate with a dynamic team of Data Scientists, Machine Learning Engineers, Cloud Engineers, and Data Engineers to develop cutting-edge AI/ML enabled financial fraud and financial crimes prevention solutions. You will design, develop, and deploy machine learning integrated software algorithms and pipelines to structure, analyze, and leverage data in a production environment.

Key Responsibilities

1. Develop and lead complex model development and deployment pipelines, establishing best practices and driving innovation in data preparation and consumption.

2. Integrate and optimize existing complex data and model pipelines in a production environment, identifying and diagnosing data inconsistencies and errors, documenting assumptions, and foraging to fill data gaps.

3. Partner with data science teams to review model-ready dataset documentation and develop data model designs, ensuring completeness and accuracy.

4. Engage with internal stakeholders to understand business processes and develop hypotheses, bringing structure to requests and translating requirements into an analytic approach.

5. Develop and implement data discovery tools to drive efficiency and effectiveness in model development.

Requirements

1. MS in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or related field, with 2+ years of experience in deploying and maintaining AI/ML related projects.

2. Advanced programming skills in languages like Python, with proficiency in SQL and NoSQL databases.

3. Experience with AWS machine learning services, such as Sagemaker, for model development, training, and deployment.

4. Proficiency in designing and implementing scalable data pipelines that support machine learning workflows.

5. Strong technical skills in ML/AI concepts, with a proven track record of developing and deploying machine learning models with robust data architectures.



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