Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
John Hancock Life Insurance Company (U.S.A.) is seeking a Senior Machine Learning Engineer to join their U.S. Advanced Analytics team. This role is crucial in bridging the gap between data science and production implementation, focusing on operationalizing analytics solutions for the insurance division.
The position offers an exciting opportunity to work with cutting-edge technologies in machine learning and artificial intelligence, including LLMs and RAG systems. As part of the role, you'll be responsible for designing and implementing scalable ML pipelines, optimizing and deploying models, and building robust data science infrastructure using Azure cloud services.
The ideal candidate will bring 5+ years of experience in ML engineering or related fields, with strong expertise in Python, SQL, and cloud technologies. You'll work closely with multiple teams across the organization, including Underwriting, Pricing, IT, and Operations, making this an excellent opportunity for someone who enjoys collaborative environments and end-to-end solution development.
The company offers an attractive compensation package ranging from $104,860 to $194,740 USD, along with comprehensive benefits including health insurance, 401k, and generous PTO. The hybrid work environment provides flexibility while maintaining team collaboration.
This role is perfect for someone passionate about applying ML/AI solutions to real-world financial services challenges, with a desire to work for a global leader in the insurance industry. The position offers significant growth opportunities and the chance to work on innovative projects that directly impact the business's success.
Working at John Hancock means joining a values-driven organization that emphasizes continuous innovation, professional development, and a strong commitment to diversity and inclusion. The company's focus on corporate citizenship and environmental impact makes it an ideal choice for professionals seeking meaningful work with broad societal impact.
Responsibilities For Senior Machine Learning Engineer
- 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
- Develop automation scripts and tools for ML systems management
Requirements For Senior Machine Learning Engineer
- 5+ years of experience in ML engineering, DevOps, or data science roles
- 3+ years of hands-on experience with Azure/Cloud technologies
- 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 and prompt engineering
- Experience with DevOps practices (Git, CI/CD pipelines)
- Degree in Computer Science, Data Science, Engineering, or related field
- Ability to deliver pragmatic solutions under tight deadlines
Benefits For Senior Machine Learning Engineer
- Competitive salary and benefits packages
- Growth trajectory opportunities
- Career path development
- Flexible work policies
- Professional development opportunities
- Health insurance coverage
- Dental insurance coverage
- Mental health coverage
- Vision insurance coverage
- Short and long-term disability
- Life insurance
- 401k savings plans
- 11 paid holidays
- 3 personal days
- 150 hours of vacation
- 40 hours of sick time
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