AI Machine Learning Engineer

Publicis Sapient is seeking an AI Machine Learning Engineer to strengthen our Data Science division. As a key member of the team, you will lead the development of data-driven solutions powered by cutting-edge learning algorithms, with a special focus on integrating advanced AI methodologies into our workflow. Your role involves implementing conceptual models for problem-solving within the machine learning domain and translating organizational objectives into actionable data-driven strategies. Thriving amidst diverse datasets globally, you will have the chance to work with state-of-the-art technology and witness firsthand how your insights translate into tangible business results.

This position plays a crucial role in advancing the application of machine learning as a foundational tool for addressing real-world business challenges. This role sits at the intersection of machine learning research and engineering, where you will help us experiment, prototype, and build smart solutions using modern AI techniques.

You’ll work on challenging, practical problems, like making autocomplete faster, improving LLM-based systems for code and text, or experimenting with small models under real-world constraints like limited infrastructure or data.

This is a great opportunity for someone who enjoys learning, exploring open-source tools, and working in an agile R&D-style setup within a consulting environment. You’ll also have the chance to contribute to client-facing solutions when needed.

Qualifications

Your Experience:

• Experience across public clouds is mandatory (AWS, GCP, Azure, Snowflake)
• Deploying or hosting large models using frameworks like vLLM, TGI, Ray, or BentoML
• Fine-tuning or training LLMs / vision models (SLMs, VLMs, etc.)
• Experience building with vector databases (e.g., FAISS, Weaviate, Milvus)
• Working with prompt engineering and agentic frameworks (e.g., MetaGPT, AutoGPT)
• Strong written and verbal communication skills
• Collaborative and open to new ways of learning
• Self-starter who thrives in an autonomous environment
• Ability to prioritize and manage multiple tasks
• Process oriented with the ability to define and set up processes
• Curious, hands-on, and comfortable with ambiguity
• Enjoys solving real-world problems without over-engineering
• Hands-on and comfortable with quick prototyping
• Curious about new tools and open-source developments
• Can work independently and communicate clearly
• Flexible — comfortable working on internal initiatives and client support

Additional Information

The pay range: $123,000-153,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

Working Here: Flexible vacation policy: time is not limited, allocated, or accrued; 16 paid holidays throughout the year; generous parental leave and new parent transition program; tuition reimbursement; corporate gift matching program. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at or you may call us at +1-617-621-0200.

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

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