OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. As an AI Engineer at OneMagnify, you’ll focus on making machine learning and generative AI systems reliable, scalable, and production‑ready for real client use.

Company: OneMagnify

Role: AI Engineer

Location: Remote

Experience:

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

Key Skills:

MLOps practices
experiment tracking
model versioning
monitoring
model evaluation frameworks
performance monitoring techniques
large language models
applied AI use cases
object-oriented programming
Databricks
Python
SQL
related analytics or engineering tools
BI tools such as Tableau, Power BI, or Domo

Qualification:

Bachelor’s degree in a relevant field or equivalent practical experience
Master’s degree preferred

Role Focus:

Build and Maintain Production ML/AI Pipelines
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
Apply MLOps Best Practices
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
Monitor, Observe, and Improve Models in Production
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
Be a Trusted Technical Partner to Clients
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
Collaborate Across Integrated Teams
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
Support Client-Facing Delivery
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

Nice to have:

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
Experience in integrated marketing, digital agency, marketing services, or consulting environments

Other:

medical, dental, and vision coverage
401(k) retirement plan
paid holidays
Flexible Time Off (FTO)
programs focused on wellness, financial security, and professional growth

AI Engineer

Skills Required

Description