Artificial Intelligence Engineer
Listed on 2026-07-05
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Artificial Intelligence Engineer
As an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon's products, platforms, and client outcomes. You will work alongside product managers, platform engineers, and data teams to translate complex business problems into production-ready AI systems. This role offers the opportunity to work on high-impact initiatives including generative AI, agentic workflows, and intelligent automation, while contributing to Epsilon's broader goals of innovation, operational excellence, and data-driven decision making.
Design, develop, and deploy machine learning and AI models that are reliable, scalable, and production-ready.
Contribute to the development of generative AI and LLM-based solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
Build and operate AI systems end-to-end, from experimentation and evaluation through deployment, monitoring, and iteration.
Collaborate with cross-functional partners to embed AI capabilities into customer-facing products and internal platforms.
Improve model performance, cost efficiency, and reliability through experimentation, tuning, and observability.
Help establish and evolve best practices for AI engineering, MLOps, and responsible AI within the organization.
Grow technically through exposure to modern AI frameworks, cloud-based ML platforms, and real-world enterprise use cases.
4+ years of experience building machine learning or AI-driven systems in real-world production environments.
Strong foundations in machine learning, statistics, data structures, and software engineering.
Hands-on experience with modern ML frameworks such as PyTorch, Tensor Flow, or JAX.
Proficiency in Python and experience applying production-grade engineering practices.
Familiarity with cloud environments (AWS, Azure, or GCP) and deploying services at scale.
Ability to work across the full AI lifecycle—from data exploration and modeling to deployment and monitoring.
Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces.
Experience working with large language models (LLMs), generative AI systems, or agent-based architectures.
Exposure to RAG pipelines, evaluation frameworks, or fine-tuning foundation models.
Familiarity with MLOps tooling, CI/CD pipelines, model monitoring, or feature stores.
Experience collaborating closely with product and platform teams on customer-facing AI features.
MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience).
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision, and 1 Voice. Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology.
We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
- People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
- Collaboration: We work together, support one another, and collectively achieve goals.
- Growth: There are endless opportunities for growth through learning, development and career advancement.
- Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
- Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and…
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