AI Technical Architect

Publicis Groupe

New York, NY, United States

28 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

9 years minimum

Compensation

$120,000.0 - $140,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Computer Programming Django Web Framework Python (Programming Language) Machine Learning Natural Language Processing NoSQL

+15 more

OpenCV Tensorflow Azure Machine Learning Software Deployment SQL Databases User-Centered Design Pytorch Flask (Web Framework) Large Language Models Deep Learning Keras Scikit Learn Information Technology Virtual Agents Natural Language Understanding

Job description

We’re seeking a senior AI/ML Engineer with minimum 9-10 yrs experience 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

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.

Requirements

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)