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
- Lead a team of AI/ML professionals at TD. Manage projects developing predictive AI for diverse banking applications.
Responsibilities
- Managing, mentoring, and developing a team of applied machine learning scientists, fostering a collaborative and innovative work environment
- Leading the conceptualization, design, and delivery of AI/ML systems to solve complex business and enterprise-wide problems
- Providing thought leadership and developing innovative methodologies and techniques in AI/ML
- Collaborating with cross-functional teams to build and implement cutting-edge analytic solutions
- Translating business objectives into scalable technical solutions and delivering enterprise-level insights
- Acting as a business partner to guide and prioritize strategic initiatives and analytical needs
- Driving continuous improvement through monitoring systems, feedback loops, and trend analysis
- Ensuring compliance with internal and external governance, risk, and regulatory requirements
Requirements
- Undergraduate degree required; advanced technical degree preferred (e.g., Mathematics, Physics, Engineering, Finance, Computer Science)
- Minimum 5+ years of relevant experience, including post-graduate work in AI/ML or related fields
- Proven experience in leading and managing technical teams, with a focus on mentorship and performance development
- Deep expertise in AI/ML frameworks, tools, and methodologies
- Strong strategic planning, communication, and stakeholder engagement skills
- Extensive understanding of business operations and enterprise-level analytics
- Experience working with large-scale data systems and advanced machine learning techniques
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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