ML Ops Engineer building data pipelines, datasets, and training workflows for AeroVect’s autonomous ground - handling systems. Improving perception tooling, model diagnostics, and cloud efficiency.
About the role
- Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.
Responsibilities
- Design, develop, and deploy AI solutions for global operations
- Leverage and integrate large language models (LLMs) and Agentic AI to solve business problems
- Gather requirements with business stakeholders and integrate AI solutions with existing systems
- Design and collaborate with data engineers on content extraction and chunk/loading to vector stores
- Establish high-quality data pipelines for AI applications
- Assess and optimize AI models and systems for performance, accuracy, and reliability
- Apply responsible AI practices and rigorous testing methodologies
- Research and incorporate emerging AI technologies and methodologies
- Learn from senior engineers and contribute to a collaborative team environment
- Implement efficient human feedback loops to refine AI actioning solutions
- Report to the Senior Director
Requirements
- At least 2 years of experience in Machine Learning engineering
- Proven track record of successfully building and deploying AI solutions
- Familiarity with LangChain, LangGraph, or OpenAI SDK
- Strong Python programming skills
- Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered
- Strong prompt engineering and indexing/retrieval techniques skills
- Experience developing production-grade AI code
- Experience building APIs with best practices and integrating with UI
- Experience with distributed computing frameworks and cloud platforms such as AWS, Azure, or Google Cloud
- Foundational knowledge of machine learning algorithms
- Experience applying pre-built models
- Understanding of data engineering principles, data pipelines, and ETL processes
- Excellent communication skills for cross-functional collaboration and conveying technical concepts to non-technical stakeholders
Benefits
- Flexible work environment supporting well-being and inclusion
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans, including pension
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days
- Statutory leaves of absence
- Incentive programs and incentive compensation tied to business and individual performance
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