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Principal AI/ML Engineer - W2 Only
Principal AI/ML Engineer - W2 OnlyLargeton Group • San Francisco, CA, United States
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Principal AI / ML Engineer - W2 Only

Principal AI / ML Engineer - W2 Only

Largeton Group • San Francisco, CA, United States
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  • [job_card.full_time]
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1 week ago Be among the first 25 applicants

This range is provided by Largeton Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00 / yr - $100.00 / yr

Role Overview

  • Lead the design, development, and implementation of the company's AI / ML platforms, infrastructure, and services.
  • Drive technical vision, architecture, and strategy for AI / ML engineering needs, ensuring platform reliability, performance, and scalability.
  • Provide technical leadership, guidance, mentorship, and foster a culture of continuous innovation within engineering teams.
  • Collaborate with cross-functional teams (security, solutions architecture, product, engineering, vendors) to deliver integrated AI / ML solutions.
  • Oversee project roadmaps, deliverables, and report progress to management and stakeholders.
  • Ensure security, compliance, and operational excellence in all AI / ML initiatives.

Key Responsibilities

  • Architect and implement robust AI / ML platforms and infrastructure.
  • Build and deploy supervised and unsupervised machine learning models, leveraging LLMs where applicable.
  • Champion best engineering practices, automation, CI / CD, and agile development methodologies.
  • Partner with business leaders and senior engineers to align technical solutions with organizational needs.
  • Ensure platform security, data privacy, and adherence to SLOs and error budgets.
  • Engage with external partners to evaluate and integrate complementary AI / ML technologies.
  • Set and monitor measurable quality goals and OKRs for teams.
  • Manage team performance, financials, and accountability for deliverables.
  • Advise senior leadership on complex technical initiatives and business strategy.

    • Required Experience & Skills

  • 15-20 years of large-scale software design and development experience.
  • Strong hands‑on expertise in Java and Python.
  • Proven experience building supervised, unsupervised, and (preferably) reinforcement learning models.
  • Experience with LLMs and distributed computing frameworks (Ray, Spark).
  • Proficient with Kubernetes, Terraform, and cloud architecture (AWS, Azure, S3, EMR, Lambda).
  • Deep knowledge of big data platforms and large-scale data engineering.
  • Extensive experience with CI / CD, agile methodologies, and end‑to‑end SDLC including production operations.
  • Demonstrated leadership, mentorship, and team‑building abilities.
  • Excellent analytical, problem‑solving, and communication skills.

    • Education

  • Bachelor’s degree in Computer Science or related field required; advanced degree preferred.

    • Location & Work Arrangement

  • Hybrid role (1‑3 days onsite / week) in Portland, ME; Boston, MA; Chicago, IL; or San Francisco, CA (must reside within 50 miles of location).

    • Seniority level

  • Mid‑Senior level

    • Employment type

  • Contract

    • Job function

  • Engineering and Information Technology
  • Information Services

    • Referrals increase your chances of interviewing at Largeton Group by 2x

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