AI/ML Eng (Tech Architect)

Publicis Re:Sources is seeking a senior AI/ML Engineer to serve as a Technical Architect, responsible for end-to-end design and delivery of machine learning solutions. This role involves hands-on model development, ML platform engineering, and architectural governance to build scalable, secure, and cost-effective AI systems. The engineer will collaborate with stakeholders, develop and deploy AI/ML solutions, preprocess data, evaluate models, and monitor performance in production environments.

Must Have

• Collaborate with stakeholders to translate business requirements into AI/ML solutions.
• Develop, implement, and deploy AI/ML solutions.
• Preprocess and analyze large datasets.
• Evaluate, validate, and optimize AI/ML models.
• Deploy applications and AI/ML models into cloud environments (AWS/Azure/GCP).
• Monitor and maintain AI/ML model performance in production.
• Document AI/ML model development processes.
• Strong programming skills in Python, SQL/NoSQL.
• Experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras.
• Knowledge of math, probability, and statistics.
• Experience in cloud infrastructure (AWS, Azure, GCP).

Good to Have

• Experience on Agentic AI/Frameworks.
• Exposure to GEN AI models (OpenAI, Google Gemini, Runway ML).
• Familiarity with various Machine Learning, NLP, and deep learning algorithms.
• Exposure in developing API using Flask/Django.
• Exposure to Gen AI, Vector DB/Embeddings, LLM.

Company description

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.

Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management.

We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com.

The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together.

• People First, Driving Success Together
• Problem Solving Mindset
• Respect Each Other
• Partner and Collaborate as One Team
• Commit to Quality and Standards
• Innovate and Embrace the Future

Overview

We’re seeking a senior AI/ML Engineer who can serve as a Technical Architect—owning end-to-end design and delivery of machine learning solutions. This role blends hands-on model development, ML platform engineering, and architectural governance to build scalable, secure, and cost-effective AI systems that power high-impact business use cases.

Salary Range: $120 - 140K/yr

• Visa Sponsorship is not available for this position

Responsibilities

• Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
• Develop, implement, and deploy AI/ML solutions.
• Preprocess and analyze large datasets to identify patterns, trends, and insights.
• Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
• Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
• Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
• Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Qualifications

• Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience on Agentic AI/ Frameworks
• Strong programming skills in languages such as Python, SQL/NoSQL etc.
• Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms
• Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.
• Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
• Knowledge of math, probability, and statistics.
• Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
• Exposure in developing API using Flask/Django.
• Good experience in cloud infrastructure such as AWS, Azure or GCP
• Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)

Additional information

All your information will be kept confidential according to EEO guidelines.

This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.

A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

This document does not create an employment contract, implied or otherwise, other than an "at-will" relations.

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