Principal ML Engineer

Job Description

Overview

We are seeking a Principal Machine Learning Engineer to own the design, deployment, and evolution of AI systems supporting core business functions. This role goes beyond model development and focuses on system-level ownership, technical decision-making, and mentorship.

The ideal candidate has experience building ML systems end-to-end in production and is comfortable making architectural tradeoffs that balance performance, risk, and scalability.

Day to Day

• Design and implement AI systems using Generative AI, RAG, and Agentic AI

• Architect end-to-end ML solutions with awareness of technical and business tradeoffs

• Own system-level performance, reliability, and safety in production

• Deploy improvements and manage releases for ML systems

• Mentor ML Engineers on best practices and technical decision-making

Partner with business stakeholders and vendors to evaluate and integrate AI tools

Compensation: $165k to $175k Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Master's in Computer Science, Engineering, Statistics, or related quantitative field

• 8+ years of hands-on experience developing and deploying ML systems in production

• Strong experience with:

? Time-series models

? Generative AI

? NLP and/or Large Language Models (LLMs)

? Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)

• Strong engineering background with ability to debug, deploy, and maintain ML systems

• Solid understanding of MLOps, model monitoring, CI/CD, and scalable architectures

• Ability to communicate ML outcomes related to:

? Data quality

? Governance and transparency

Privacy and security - PhD degree in a quantitative discipline

• Experience in Finance or Insurance

Prior experience mentoring or coaching junior ML engineers