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AI Technical Architect

Chicago, IL, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Use Cases
Collaboration
Cloud Computing
Knowledge Sharing
Continuous Improvement
Computer Science
Data Science
Python
SQL
NoSQL
Analytical Skill
Artificial Intelligence
TensorFlow
PyTorch
scikit-learn
OpenCV
Keras
Mathematics
Probability
Statistics
Machine Learning (ML)
Natural Language Processing
Deep Learning
Algorithms
API
Flask
Django
IaaS
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Generative Artificial Intelligence (AI)
Database
Large Language Models (LLMs)

Summary

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.

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/Google Cloud Platform 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 Google Cloud Platform
Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105641
Position Id: 88619c241bc0a63b8d8609f13483579f
Posted 1 hour ago

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