Senior AI​/ML Engineer

Senior AI/ML Engineer

Client:
Global advertising company

Location:

Chicago or NYC; 3 days a week onsite.

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.

• Collaborate with software engineers, business stakeholders 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.

• 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/No
  
  SQL 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 Tensor Flow, 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)
• Familiarity with Microsoft Foundry and Copilot Studio