Senior Machine Learning Engineer

Manulife•Boston, MA

6d•$107,450 - $199,550•Hybrid

About The Position

The Senior Machine Learning Engineer will design and implement AI solutions for backend applications, focusing on document analytics. This role involves researching and implementing AI agents using large language models (LLMs) to automate business processes such as document processing, information retrieval, and fraud analytics. The engineer will also mentor junior team members on best practices in programming, MLOps, and LLMOps, and guide them in using big data tools, machine learning frameworks, and cloud computing concepts. Responsibilities include researching Computer Vision (CV) and Natural Language Processing (NLP) algorithms, developing image processing algorithms for intelligent document processing, and designing/maintaining data pipelines and automated reporting systems using big data technologies and SQL. The role requires writing and maintaining Python code repositories for AI solutions, deploying these solutions on cloud platforms, identifying new AI applications to optimize business processes, and conducting machine learning experiments.

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.
Alternatively, a 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.
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.

Responsibilities

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

Benefits

health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
financial education and counseling resources
up to 11 paid holidays
3 personal days
150 hours of vacation
40 hours of sick time (or more where required by law)
full range of statutory leaves of absence