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Senior Machine Learning Solutions Architect

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Onsite

Senior Machine Learning Solutions Architect

Ladders

Senior Machine Learning Solutions Architect

Skills

Data ScienceSnowflakeDatabricksData AnalysisMachine LearningAWS

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

14 September 2026

What they need


For our client, we are seeking a Senior Machine Learning Solutions Architect to join the team of a leader in the Finance & Insurance space.

This role will shape end-to-end machine learning solutions that move from data ingestion through production deployment in a regulated financial environment.

You will define scalable data architecture and MLOps practices that support feature engineering, model evaluation, and lifecycle management at enterprise scale.

In partnership with data scientists and engineers, you will help turn experimentation into reliable APIs, real-time services, and reusable platform capabilities.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $138,000 – $200,100 annually

Responsibilities

  • Architect end-to-end machine learning solutions from data ingestion to production
  • Design and standardize data flow across systems for machine learning and analytics
  • Define architectural patterns for feature engineering and model evaluation
  • Establish MLOps practices for model lifecycle management at scale
  • Build reusable capabilities such as feature pipelines and model serving frameworks
  • Determine how machine learning outputs are exposed through APIs and real-time services
  • Collaborate with data scientists and engineers to integrate experimentation into production systems

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related quantitative field
  • 8+ years of experience in data, platform, or software engineering roles with exposure to machine learning
  • Experience designing and delivering production-grade machine learning or analytics solutions
  • Strong background in data architecture and movement across distributed systems
  • Deep understanding of machine learning workflows including feature engineering and model deployment
  • Experience with modern data and machine learning platforms like AWS, Snowflake, or Databricks

Benefits

  • Medical, dental, vision, and life insurance
  • 401(k) plan with company matching contributions
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment
  • Generous paid time off and holidays
  • Paid volunteer time - 16 hours per year
  • Leave of absence programs including paid parental leave and disability

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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