Machine Learning Engineer

Overview

About Business Unit:

As part of the Digital Integration Services team, you'll be at the forefront of modernizing marketing and delivering ground-breaking solutions. From crafting data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals.

Our team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft relevant, customer-centric strategies for the world's leading brands.

Role Overview

We are seeking an ML Engineer with 2-3 years of experience in machine learning and hands-on exposure to Generative AI. You will help build and optimize AI models, data pipelines, and LLM-powered solutions. The role is both engineering- and experimentation-focused, offering opportunities to work with cutting-edge GenAI tools in a production environment.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

• ML & GenAI Development
• Build, fine-tune, and deploy ML and Generative AI models (LLMs, embeddings, transformers).
• Develop RAG workflows using tools like LangChain, LlamaIndex, Hugging Face, and vector databases (FAISS, Pinecone, Chroma).
• Use Amazon Q and GitHub Copilot to accelerate coding, model experimentation, documentation, and pipeline development.
• Implement data preprocessing, feature engineering, and unstructured data
• Data & Platform Engineering
• Develop and maintain scalable data pipelines using Python, SQL, and ETL/ELT tooling.
• Contribute to MLOps workflows including CI/CD, model deployment, monitoring, and automation.
• Collaboration & Problem Solving
• Work with product, engineering, and analytics teams to convert business needs into AI/ML solutions.
• Participate in PoCs, model evaluation, and iterative
• Communicate technical concepts effectively to both technical and non- technical stakeholders.
• Continuous Learning & Innovation
• Explore new GenAI tools, including AI-assisted development platforms like Amazon Q and GitHub Copilot, to improve development productivity.
• Keep up with advancements in LLMs, synthetic data, agentic systems, and emerging frameworks.

Qualifications

Required Skills & Competencies

• 2-3 years in AI/ML and Generative AI solution
• Strong programming skills in Python and proficiency in
• Experience with ML frameworks (PyTorch, TensorFlow) and GenAI libraries (LangChain, LlamaIndex, Hugging Face).
• Hands-on exposure to AI-assisted coding tools such as Amazon Q and GitHub Copilot.
• Understanding of vector databases and embedding-based
• Familiarity with AWS (SageMaker, Bedrock, Lambda, S3).
• Understanding of MLOps concepts (CI/CD for ML, model monitoring, versioning).
• Strong communication and problem-solving

Preferred Qualifications

• Experience with AI agents, function calling, or multimodal
• Exposure to enterprise data platforms Databricks AWS AI services, or cloud- native LLM hosting and orchestration is a plus.
• Work on MarTech/AdTech systems is a
• Contributions to open-source AI projects or involvement in developer

Education

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related fields.
• AWS or ML certifications are a

Additional Information

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. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

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 consumers.

• Act with integrity
• Work together to win together
• Innovate with purpose
• Respect all voices
• Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Epsilon is an Equal Opportunity Employer.

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.