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Publicis Re:Sources · 4 days ago

AI/ML Eng (Tech Architect)

Chicago, IL

Full-time

Onsite

Senior Level, Lead/Staff

$120K/yr - $140K/yr

9+ years exp

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. They are seeking a senior AI/ML Engineer who will serve as a Technical Architect, responsible for the end-to-end design and delivery of machine learning solutions, blending hands-on model development with architectural governance.

Business DevelopmentConsultingInformation Technology

No H1B

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

Qualification

Machine LearningAI Solutions DevelopmentCloud InfrastructurePythonDeep Learning FrameworksNLP/NLUStatistical KnowledgeAPI DevelopmentData AnalysisCollaboration

Required

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)