Mlops Engineer Internship Jobs (NOW HIRING)

The Associate AI Engineer will join the AI team supporting the Long-Term Care program in John Hancock and Manulife. This role will contribute to building, deploying, and maintaining AI solutions that improve business processes, risk insights, and customer experience across the Long-Term Care value chain.

The ideal candidate is a quick learner, eager to build hands-on experience in machine learning, Generative AI, and production AI systems, and interested in staying current with emerging trends in AI, engineering, and cloud technologies. You will work closely with senior engineers, data scientists, and business partners to turn ideas and prototypes into production-ready AI solutions.

Position Responsibilities:

• Support the design, development, and deployment of AI and ML solutions for the Long-Term Care program.
• Work with Data Scientists and AI Engineers to help build and maintain ML and GenAI pipelines (data preparation, feature engineering, model training, and evaluation).
• Assist in deploying models into production environments using modern engineering practices.
• Help monitor model performance, including accuracy, drift, and reliability, and support troubleshooting and improvements.
• Contribute to both traditional ML use cases (predictive models, classification, forecasting) and GenAI use cases (summarization, document processing, RAG, automation).
• Develop and maintain APIs and services that integrate AI solutions into business workflows.
• Follow established MLOps and LLMOps practices, including version control, testing, and documentation.
• Support building observability tools such as logging, dashboards, and alerts.
• Collaborate with cross-functional teams including engineering, data, business, and governance teams.
• Ensure solutions follow enterprise standards for security, compliance, and responsible AI.
• Continuously learn and apply new tools, frameworks, and best practices in AI, ML, and software engineering.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
• Strong programming skills in Python.
• Foundational understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, feature engineering).
• Basic experience with ML or AI projects, either through coursework, internships, or personal projects.

Preferred Qualifications:

• Exposure to GenAI or LLMs (e.g., prompt engineering, APIs, embeddings, or RAG concepts).
• Basic understanding of cloud platforms (preferably Azure) and modern development tools.
• Familiarity with version control (Git) and basic software engineering practices.
• Basic knowledge of data processing using SQL or data tools.
• Strong problem-solving skills and willingness to learn.
• Good communication skills and ability to work in a team environment.

When you join our team:

• We'll empower you to learn and grow the career you want.

• We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

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 https://www.manulife.com/en/about/our-story.html.

Manulife 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 pregnancy-related 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 hr@manulife.com.

Referenced Salary Location

Salary range is expected to be between

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term 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.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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