AI Engineer

🕒 vor 11 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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OneMagnify

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 1967

🤝 B2B

🛍️ eCommerce

🤖 Künstliche Intelligenz

B2B • eCommerce • Artificial Intelligence

OneMagnify ist ein Unternehmen, das sich auf die Schaffung optimaler Kundenerlebnisse durch digitale Transformation konzentriert. Sie sind spezialisiert auf eine Vielzahl von Dienstleistungen, darunter Kundenforschung, Markenerlebnis, UI/UX-Design, Website-Entwicklung, eCommerce und programmgesteuerte Medien, die durch KI unterstützt werden. Durch den Einsatz datengesteuerter Strategien und Technologie verbessert OneMagnify das Kundenengagement und entwickelt personalisierte Erlebnisse in großem Maßstab für ihre Kunden.

Beschreibung

• Build and Maintain Production ML/AI Pipelines • Design and maintain production ML and AI pipelines, including training, evaluation, deployment, and monitoring. • Create data pipelines and prepare datasets for AI consumption. • 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.

🎯 Anforderungen

• 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 preferred.

🏖️ Vorteile

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