Sports Analytics Machine Learning Jobs in Massachusetts

Employer: John Hancock Life Insurance Company (USA)

Job Site: 200 Berkeley Street, Boston, MA 02116

Job Title: Senior Machine Learning Engineer

Job Duties:

Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include:

• Design, develop, and maintain AI solutions for backend applications related to document analytics;
• Conduct research and implement AI agents using large language models (LLMs);
• Deploy LLM agents to automate various business processes including document processing, information retrieval, fraud analytics, and other operational tasks;
• Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning Operations (MLOps), and Large Language Model Operations (LLMOps); and in use of various big data processing tools, machine learning frameworks, and cloud computing concepts;
• Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical challenges in document analytics field;
• Conduct research and development of image processing algorithms for intelligent document processing;
• Design, develop, and maintain data pipelines to enable data analytics workflows;
• Design, develop, and maintain highly scalable SQL queries and cloud deployments of automated reporting pipelines using big data technologies;
• Write and maintain code repositories for AI solutions using the Python;
• Deploy AI solutions on cloud platforms;
• Identify new opportunities to apply NLP, CV, LLMs, and other AI techniques to optimize business processes;
• Conduct data science and machine learning experiments to discover data-driven solutions.

Work Arrangement Requirement Hybrid from Boston Office (3 days from office, 2 days from home)

Minimum Requirements:

Master's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 2 years of machine learning engineering, computer vision engineering, or perception engineering experience. Employer will also accept Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 5 years of machine learning engineering, computer vision engineering, or perception engineering experience.

Experience must include the following, which may be gained concurrently:

• 2 years of experience with programming languages including Python and C++.
• 2 years of experience developing and deploying AI solutions including computer vision, natural language processing, and Large Language Model (LLM) based applications.
• 2 years of experience using high-performance and real-time computer vision and image processing algorithms.
• 2 years of experience building and deploying back-end AI applications within cloud infrastructure environments.
• 2 years of experience using Agile methodology.
• 2 years of experience conducting algorithm research and development including Computer Vision, Optical Character Recognition, and Natural Language Processing.
• 2 years of experience with SQL including building queries and coding for comprehensive data needs.
• 1 year of experience using cloud data practices.

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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