MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Research Machine Learning Scientist at TD's AI research centre, developing advanced deep learning techniques for financial applications. Collaborating on large-scale datasets in a startup-like environment.
Responsibilities
- Join a world-class team of machine learning researchers with an extensive track record in both academia and industry
- Research, develop, and apply new techniques in deep learning to advance our industry leading products
- Work with large-scale, real-world datasets that range from banking transactions, to large document collections
- Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround
Requirements
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
- Strong background in machine learning and deep learning
- 2+ years of research experience with publication record
- Proven track record of applying machine learning to solve real-world problems
- Depth of experience in relevant ML research disciplines
- Hands on experience in software systems development
- Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
- Experience with Spark, SQL, or comparable database systems
- Experience using GPUs for accelerated deep learning training
- Familiarity with cloud computing systems like Azure or AWS
- Experience in LLM post-training and inference methods
- Deep understanding of reinforcement learning and its applications to agent training
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
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