Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
The Opportunity
The Senior Machine Learning Engineer will be part of the U.S. Advanced Analytics team responsible for packaging models automating workflows and operationalizing analytics solutions to generate business value for the insurance division of JH/Manulife. This role will contribute to designing recommending and implementing platforms infrastructure and standard methodologies in MLOps/LLMOps to support data scientists. The position involves close collaboration with multifunctional teams including Underwriting Pricing IT Data Office Operations Sales and Distribution. The ideal candidate will be an expert programmer with a strong understanding of data science data engineering application development software engineering and DevOps/MLOps.
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 finetuned LLMs
- Select appropriate technical tools and frameworks for project implementation
- Collaborate with crossfunctional 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
What motivates you
- You obsess about customers listen engage and act for their benefit.
- You think big with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions focusing on what matters.
- You do what is right work with integrity and speak up.
- You share your humanity helping us build a diverse and inclusive work environment for everyone.
What we are looking for
- 5 years of experience in ML engineering DevOps or data science roles
- 3 years of handson 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
- Preferred: Experience in the insurance industry particularly in underwriting and product development
What can we offer you
- A competitive salary and benefits packages.
- A growth trajectory that extends upward and outward encouraging you to follow your passions and learn new skills.
- A focus on growing your career path with us.
- Flexible work policies and strong worklife balance.
- Professional development and leadership opportunities.
Our commitment to you
- Valuesfirst culture: We lead with our Values every day and bring them to life together.
- Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
- Continuous innovation: We invite you to help redefine the future of financial services.
- Delivering the promise of Diversity Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
- Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.
#LIHybrid
#LIJH
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider helping people make their decisions easier and lives better. To learn more about us visit is an Equal Opportunity Employer
At Manulife/John Hancock we embrace our diversity. We strive to attract develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment retention advancement and compensation and we administer all of our practices and programs without discrimination on the basis of race ancestry place of origin colour ethnic origin citizenship religion or religious beliefs creed sex (including pregnancy and pregnancyrelated conditions) sexual orientation genetic characteristics veteran status gender identity gender expression age marital status family status disability or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process contact .
Primary Location
Boston MassachusettsWorking Arrangement
Salary range is expected to be between
$104860.00 USD $194740.00 USDIf you are applying for this role outside of the primary location please contact for the salary range for your location. The actual salary will vary depending on local market conditions geography and relevant jobrelated factors such as knowledge skills qualifications experience and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits including health dental mental health vision short and longterm disability life and AD&D insurance coverage adoption/surrogacy and wellness benefits and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays 3 personal days 150 hours of vacation and 40 hours of sick time (or more where required by law) each year and we offer the full range of statutory leaves of absence.
Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I EVerify I Pay Transparency
Company: John Hancock Life Insurance Company (U.S.A.)Required Experience:
Senior IC
Employment Type
Full-Time
