AI/ML Engineer
Publicis Sapient · Posted Oct 8
Enterprise AI platforms, digital business transformation, software engineering, and strategy consulting services
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About the role
The Data and AI Team at Publicis Sapient builds scalable AI solutions for enterprises across industries such as Healthcare, Retail, and Automotive, blending data science, AI/ML, and software engineering. The team leverages state-of-the-art Generative AI, LLMs, and RAG to create applications like intelligent content moderation engines, AI-driven recommendation systems, and LLM-based enterprise solutions. This role will design and fine-tune industry-specific Gen AI models, build AI agents with LangChain, and develop NLP and RAG pipelines for production deployments.
What you will do
- Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.
- Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.
- Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced machine learning concepts and core fine-tuning methodologies.
- Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs and the LangChain framework to deliver personalized, user-centric solutions.
- Advance Generative AI Applications: Innovate with cutting-edge generative AI techniques like Retrieval-Augmented Generation (RAG) to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
- Scale AI and Operationalize: Ensure production-quality code using containerization tools for deployment tasks, writing clean, maintainable, and efficient code to solve real-world problems.
- Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.
- Develop NLP & RAG Pipelines: Implement advanced NLP solutions and Retrieval-Augmented Generation (RAG) techniques for search relevance, intent detection, and dynamic content generation.
- Production-Quality Execution: Write clean, maintainable, and highly efficient code under PEP8 standards, ensuring production readiness with thorough testing and detailed documentation.
- Optimize AI Pipelines: Build and deploy stable code structures using terminal-based environments and modern version control tracking workflows.
- Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.
Skills used in this role
What the employer is looking for
- Undergraduate degree (BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field) or equivalent experience.
- 2–3 years of proven experience working directly with Large Language Models (LLMs).
- 1–2 years of hands-on experience using the LangChain framework to build maintainable GenAI applications.
- 2–3 years of core experience with machine learning concepts and modern fine-tuning methodologies.
- 1–2 years of hands-on experience implementing Retrieval-Augmented Generation (RAG) techniques.
- 2–3 years of professional coding experience in Python, strictly adhering to PEP8 standards.
- 1 year of experience with containerization technologies such as Docker for model isolation and deployment.
- 1–2 years of experience with version control systems, specifically Git.
- Comfortable working natively in the terminal for development, automation, and deployment tasks.
- Strong problem-solving skills and exceptional attention to detail.
- Ability to write clean, maintainable, and efficient code with minimal technical oversight.
- Strong written and verbal communication skills.
- Ability to effectively communicate technical concepts to technical and non-technical stakeholders.
- Proactive mindset for collaboration across teams to achieve shared goals.
- Ability to prioritize and manage multiple operational tasks effectively.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Publicis Sapient
Publicis Sapient is a digital business transformation company that helps organizations create and sustain competitive advantage through a blend of strategy, consulting, experience design, and engineering. Operating as a subsidiary of Publicis Groupe, the firm leverages proprietary enterprise AI platforms like Sapient Bodhi, Slingshot, and Sustain to modernize legacy systems and accelerate digital capabilities. With over 30 years of history, it partners with global enterprises across diverse industries to reinvent how they operate and serve their customers.
- Industry
- Digital Transformation
- Company size
- 20000+ employees
- Founded
- 1990
- Location
- Boston, Massachusetts, USA
- Funding stage
- Public Company
Funding
Public Company · $3.7B raised
- 2015-02-01Acquisition$3.7B
Leadership
Chief Executive Officer
Nathalie Le Bos
Chief Financial Officer
Chief Marketing Officer
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