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[Remote] AI Engineer

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. OneMagnify is an AI native, platform-enabled B2B digital agency that combines data, technology, and creativity to drive business outcomes. As an AI Engineer, you will focus on making machine learning and generative AI systems reliable and production-ready, collaborating with data scientists and engineers to operationalize models across various platforms.

Responsibilities

  • Design and maintain production ML and AI pipelines, including training, evaluation, deployment, and monitoring
  • Develop scalable model serving architectures for real‑time and batch inference
  • Ensure AI and LLM systems are production‑ready, stable, and performant
  • Implement experiment tracking, model versioning, and reproducible training workflows
  • Establish processes for continuous evaluation and improvement of machine learning and generative AI systems
  • Support reliable lifecycle management of models from experimentation through deployment and iteration
  • Build and maintain monitoring systems to detect data drift, performance degradation, and operational issues
  • Use evaluation frameworks and monitoring signals to guide model improvements over time
  • Help teams respond to production issues with clear diagnostics and remediation approaches
  • Work directly with clients to explain AI concepts, tradeoffs, and outcomes in clear, practical terms
  • Contribute to strong client relationships through thoughtful solutioning and consistent delivery
  • Present technical approaches and results to both technical and non-technical stakeholders
  • Work closely with data scientists and AI engineers to operationalize models effectively
  • Partner with software engineers to ensure smooth deployment and integration into client platforms
  • Collaborate with analytics, strategy, and delivery teams to align MLOps solutions with client objectives
  • Contribute to client discussions by explaining MLOps approaches, tradeoffs, and outcomes in practical terms
  • Help translate client requirements into operational AI solutions that can scale and evolve
  • Support consistent, high‑quality delivery across multiple client engagements

Skills

  • Bachelor's degree in a relevant field or equivalent practical experience; Master's degree preferred
  • 2+ years in a technical role focused on machine learning, data platforms, or AI systems (2+ years post‑Master's if applicable)
  • Hands-on experience deploying and operating machine learning or generative AI models in production environments
  • Strong understanding of MLOps practices, including experiment tracking, model versioning, and monitoring
  • Experience building data and model pipelines in distributed environments
  • Familiarity with model evaluation frameworks and performance monitoring techniques
  • Exposure to large language models and applied AI use cases
  • Strong object-oriented programming skills
  • Working knowledge of Databricks
  • Proficiency with Python, SQL, and related analytics or engineering tools; familiarity with BI tools such as Tableau, Power BI, or Domo is a plus
  • Experience owning or leading technical workstreams in collaborative environments
  • Clear communication skills, including the ability to explain technical concepts to non‑technical stakeholders
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments
  • Experience operationalizing generative AI or LLM‑based systems in client-facing or production environments
  • Familiarity with marketing technology stacks, CRM platforms, or customer data platforms
  • Exposure to automation, CI/CD for ML, or model orchestration workflows
  • Experience supporting platform‑based or reusable delivery models across clients
  • Comfort working in environments where AI systems support business and customer experience outcomes

Benefits

  • Medical, dental, and vision coverage
  • A 401(k) retirement plan
  • Paid holidays
  • Flexible Time Off (FTO) so you can take time away to recharge when you need it
  • Additional programs focused on wellness, financial security, and professional growth

Company Overview

  • At OneMagnify, we help transformational brands turn insight into action. It was founded in 1967, and is headquartered in Detroit, Michigan, USA, with a workforce of 501-1000 employees. Its website is http://marketingassociates.com.
  • Company H1B Sponsorship

  • OneMagnify has a track record of offering H1B sponsorships, with 1 in 2025, 2 in 2022, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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