Senior AI/ML Engineer - Boston, MA

Kelly Services

Boston (MA)

Hybrid

USD 170,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work environment in Boston, MA
Annual bonus opportunity
Medical Insurance
Dental Benefits
Vision Benefits
401(k) with company match

Job summary

Motion Recruitment Partners in Boston is seeking an experienced AI/ML Engineer to design, build, and deploy AI solutions that enhance customer experiences and improve operational efficiency. You will collaborate with data scientists, software engineers, and business stakeholders to deliver scalable, production-grade ML systems in a highly regulated industry.

The role requires 5+ years in ML/AI, strong Python and ML framework skills, cloud experience (AWS/Azure/GCP), and a solid foundation in

Qualifications

  • 5+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a related field.
  • Strong proficiency with Python and modern machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience developing, deploying, and maintaining production-grade machine learning systems.
  • Strong software engineering fundamentals and experience building scalable applications.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
  • Experience working with SQL and large-scale datasets.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.

Responsibilities

  • Design, build, and deploy AI and machine learning solutions into production environments.
  • Develop scalable APIs and services that support machine learning applications.
  • Partner with data scientists to operationalize and optimize machine learning models.
  • Build and maintain data pipelines that support training and inference workflows.
  • Monitor model performance and implement continuous improvement processes.
  • Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation.
  • Follow engineering best practices to ensure reliability, scalability, and security.

Skills

Python
ML frameworks
Production ML systems
Software engineering
Data pipelines
SQL

Education

Bachelor's degree in CS/Engineering/Data Science
Master's degree (preferred)

Tools

Docker
Kubernetes
Spark
ML Ops tools
Model monitoring platforms

Job description

$170000 - $190000

Job DescriptionA leading insurance and financial services organization is seeking an AI/ML Engineer to join its growing technology team in Boston, MA. This role will focus on designing, developing, and deploying machine learning solutions that enhance customer experiences, improve operational efficiency, strengthen risk assessment capabilities, and support data-driven decision making across the business.

This is an excellent opportunity for a hands‑on engineer who enjoys taking AI initiatives from concept to production. You'll collaborate with data scientists, software engineers, and business stakeholders to build scalable machine learning systems that deliver measurable impact in a highly regulated industry.

Location: Boston, MA (Hybrid)

Compensation: Up to $190,000 Base Salary

Required Skills & Experience
  • 5+ years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a related field
  • Strong proficiency with Python and modern machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience developing, deploying, and maintaining production‑grade machine learning systems
  • Strong software engineering fundamentals and experience building scalable applications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Strong understanding of data pipelines, feature engineering, and model evaluation techniques
  • Experience working with SQL and large‑scale datasets
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Desired Skills & Experience
  • Experience building Generative AI, LLM, or NLP-based applications
  • Familiarity with MLOps tools and model monitoring platforms
  • Experience with containerization technologies such as Docker and Kubernetes
  • Understanding of insurance, financial services, risk analytics, or actuarial data
  • Experience with distributed data processing platforms such as Spark
  • Master's degree in a related technical discipline
What You Will Be DoingDaily Responsibilities
  • Design, build, and deploy AI and machine learning solutions into production environments
  • Develop scalable APIs and services that support machine learning applications
  • Partner with data scientists to operationalize and optimize machine learning models
  • Build and maintain data pipelines that support training and inference workflows
  • Monitor model performance and implement continuous improvement processes
  • Collaborate with business stakeholders to identify opportunities for AI‑driven automation and innovation
  • Follow engineering best practices to ensure reliability, scalability, and security
The Offer
  • Base salary up to $190,000
  • Annual bonus opportunity
  • Hybrid work environment in Boston, MA
  • Opportunity to build enterprise‑scale AI solutions within a stable and growing industry
  • High‑visibility projects with direct business impact
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) with company match

Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full‑time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre‑employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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