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Senior Machine Learning Engineer
| Company | Manulife Financial |
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| Location | Boston, MA, USA |
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| Salary | $104860 – $194740 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience in ML engineering, DevOps, or data science roles
- 3+ years of hands-on experience with Azure/Cloud technologies (Databricks, MLFlow, Azure AI Studio)
- Strong Python programming skills and advanced SQL knowledge
- Experience deploying models as REST APIs
- Proficiency with Docker, Kubernetes, and cloud infrastructure
- Working knowledge of LLMs (GPT models, BERT, Llama) and prompt engineering
- Experience with DevOps practices (Git, CI/CD pipelines)
- Ability to deliver pragmatic solutions under tight deadlines
- Degree in Computer Science, Data Science, Engineering, or related field
Responsibilities
- Design and implement scalable machine learning pipelines in collaboration with data teams
- Optimize, deploy and monitor ML models in production environments
- Build and maintain data science infrastructure using Azure cloud services
- Develop Generative AI applications including RAG systems and fine-tuned LLMs
- Select appropriate technical tools and frameworks for project implementation
- Collaborate with cross-functional teams to integrate ML solutions into existing systems
- Document ML architecture designs, model integration procedures, and deployment workflows in a clear, comprehensive manner
- Develop automation scripts and tools to ease the deployment, scaling, and management of ML systems within the cloud environment
Preferred Qualifications
- Experience in the insurance industry, particularly in underwriting and product development
