New Resources Consulting · 12 hours ago

AI Architect

Milwaukee, WI

Contract

Remote

Mid Level

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Growth Opportunities

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Responsibilities

Design, develop, and implement AI solutions to tackle complex business challenges and drive strategic initiatives for clients.

Collaborate with C-suite executives, devise AI strategic plans, craft roadmaps, and drive project progression.

Develop and deploy machine learning models in production environments.

Implement computer vision algorithms and techniques to enable machines to interpret and understand visual data.

Stay current with emerging technologies and industry trends.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningAI Cloud PlatformsNatural Language ProcessingComputer VisionPythonMLOpsAgile MethodologiesVersion Control SystemsCollaboration with C-suite

Required

Bachelor’s degree or higher in Computer Science, Data Science, or related field.

Proficiency in collaborating with C-suite executives, devising AI strategic plans, crafting roadmaps, and driving project progression.

Strong programming languages commonly used in AI development such as Python, C#, or C++.

Understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and data processing techniques.

Demonstrated experience in developing and deploying machine learning models in production environments.

Experience with AI Cloud Platforms AWS, Azure, or GCP for scalable deployment of AI models.

Familiarity with Natural Language Processing (NLP) concepts and techniques for language data analysis.

Deployment of cutting-edge Artificial Intelligence techniques and Large Language Models (LLMs) to solve complex problems, optimize performance, and drive innovation, while staying current with emerging technologies and industry trends.

Develop and implement computer vision algorithms and techniques to enable machines to interpret and understand visual data.

Experience with SDLC, MLOps, and Version Control Systems, including Azure DevOps, GitHub, and Agile methodologies.

Familiarity with common ML Frameworks like LangChain, SciKit-Learn, Weights & Biases, and others.