Senior Machine Learning Engineer - Hybrid

Manulife Financial; Boston, Northern (MA, KY); Hybrid; USD 158,000 - 193,000; Full time

Job summary

John Hancock Life Insurance Company (USA) in Boston is seeking a Senior Machine Learning Engineer to design, implement, and operationalize ML and LLM-based analytics for the insurance division. You will build scalable ML pipelines, deploy models with production-grade reliability, and collaborate with data scientists, data engineers, and infrastructure teams.

The role requires a Master’s degree and 3+ years of ML experience, with strong experience in MLOps, cloud platforms, and large language

Qualifications

• Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field.
• 3 years of ML experience with model training, evaluation and production deployment.
• Experience with ML systems, MLOps, and large language models.

Responsibilities

• Package models and automate workflows to operationalize analytics solutions.
• Design and implement scalable ML pipelines with cross-functional teams.
• Deploy models to production and monitor performance.
• Mentor teammates on MLOps best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Keras

XGBoost

Docker

Kubernetes

SQL

Spark

Databricks

Education

Master’s degree in Data Science, CS, or related field

Tools

OpenCV

Tesseract

Azure AI Studio

Job description

Employer: John Hancock Life Insurance Company (USA)

Job Site: 200 Berkeley Street, Boston, MA 02116

Job Title: Senior Machine Learning Engineer

Job Duties

Package models, automate workflows, and operationalize analytics solutions to generate business value for organization’s insurance division as member of U.S. based Advanced Analytics Team. Duties include:

• Design, recommend, and implement platforms and infrastructure using MLOps/LLMOps best practices;
• Collaborate with data scientists and data engineers to design and implement scalable and efficient machine learning pipelines;
• Evaluate and optimize machine learning models for performance and scalability;
• Deploy machine learning models into production and monitor performance;
• Manage data science infrastructure to streamline model development and deployment;
• Support development and deployment of high-quality Generative AI technologies including prompt engineering and RAG applications, and fine-tuning LLM models using Azure AI Studio;
• Propose appropriate tools including languages, libraries, and frameworks for implementing projects;
• Work closely with infrastructure architects to design scalable and efficient solutions;
• Collaborate with cross-functional teams to integrate machine learning models into existing systems and processes;
• Keep abreast of latest advancements in machine learning, MLOps, and LLMOps techniques, and contribute to continuously improving organization’s machine learning capabilities; and
• Mentor associates and peers on MLOps best practices.

Work Arrangement requirement: Hybrid from Boston office (3 days from office, 2 days from home)

Minimum Requirements

Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field and 3 years of machine learning experience.

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

Minimum Requirements

Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field and 3 years of machine learning experience.

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

Minimum Requirements

Master’s degree or foreign equivalent in Data Science, Computer Science, Computer Engineering, or related field and 3 years of machine learning experience.

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

• 3 years of experience developing and deploying machine learning models for model training, optimization, evaluation, and production deployment through APIs, microservices, or cloud-based serving infrastructure using Python, TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost.
• 3 years of experience deploying and managing infrastructure using Linux OS, containerization technologies (Docker, Kubernetes), relational databases (PostgreSQL, MySQL, and Oracle) and NoSQL databases (MongoDB, Cassandra, Elasticsearch and Redis) using AWS, Azure or GCP cloud platforms.
• 3 years of experience designing and building scalable ETL pipelines and feature engineering workflows for large-scale datasets using distributed processing frameworks including Apache Spark (PySpark, Spark SQL), Hadoop ecosystem tools, or cloud-based big data services including Databricks and EMR.
• 2 years of experience developing and deploying Large Language Models including BERT, GPT-series, T5, or LLaMA, or other transformer-based NLP models using cloud-based platforms and open-source frameworks.
• 3 years of experience designing hybrid machine learning systems combining rule-based decision engines with ML models for fraud detection, compliance, claims adjudication, or automated decision-making in regulated environments.
• 3 years of experience applying machine learning algorithms, statistical modeling, and data analysis techniques for model optimization, generating actionable insights, and working with structured and unstructured data to solve business problems in financial services, fintech, insurance, or other regulated industries.
• 3 years of experience with Agile development methodologies including Scrum, Kanban, or SAFe for sprint planning, iterative development cycles, and cross-functional team collaboration in enterprise environments.
• 2 years of experience developing and deploying computer vision models for document processing, OCR, information extraction, or image classification using OpenCV, Tesseract, or cloud-based vision APIs.

Salary: $175,000 per year

The role being advertised is an existing vacancy.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、https://www.manulife.co.jp/ lをご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、[e-mail]までご連絡をお願いします。

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$107,450.00 USD - $199,550.00 USD

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 [e-mail] 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.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)