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AI Engineer Manager Minnesota (onsite, Hybrid) W2 Only

Hybrid in Minneapolis, MN, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Hybrid

$70 - $80/hr

Fitment

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Job Details

Skills

High Availability
Data Science
Database
Design Patterns
HPC
Health Care
Machine Learning (ML)
Agile
Algorithms
NoSQL
Professional Development
Research and Development
Artificial Intelligence
Cloud Computing
Data Architecture
DevOps
Management
SQL
Scalability
Thought Leadership
Unstructured Data
Use Cases

Summary

AI Engineer Manager

Minnesota (onsite, Hybrid)

6+ months contract

Full job description

As an AI Engineering Manager, you will support the design, development, and deployment of AI applications across healthcare sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Managers are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps, and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.

Key responsibilities include but are not limited to:

Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI use cases
Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
Adopt best engineering practices in automation, HPC and AI infrastructure and design patterns
Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
Mentor, motivate, and coach junior members on technical best practices and inspire professional development

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: 10123687
Position Id: 8953089
Posted 1 day ago

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