AI Data Engineer
$113K - $136K/yr
Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently. * Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and ...
AI Data Engineer
$113K - $136K/yr
Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently. * Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and ...
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
AI/ML Senior Researcher
Warren, MI · On-site
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
AI/ML Senior Researcher
Warren, MI · On-site
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
AI/ML Senior Researcher
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
AI/ML Senior Researcher
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
AI/ML Senior Researcher
Warren, MI · On-site
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
AI/ML Senior Researcher
Warren, MI · On-site
$92K - $117K/yr
Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications. * Lead technical work across a broad set of AI domains, including ...
Principal AI Engineer
Auburn Hills, MI · On-site
You will own and deliver production-scale AI solutions , analyze complex internal workflows, identify high-value automation opportunities, and architect intelligent systems that materially improve ...
Principal AI Engineer
Auburn Hills, MI · On-site
You will own and deliver production-scale AI solutions , analyze complex internal workflows, identify high-value automation opportunities, and architect intelligent systems that materially improve ...
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow ...
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow ...
Identify, redesign, and scale AI-enabled workflows across discovery, customer research, Product Requirement Document (PRD) roadmaps, prioritization, launch readiness, executive reviews, analytics ...
Identify, redesign, and scale AI-enabled workflows across discovery, customer research, Product Requirement Document (PRD) roadmaps, prioritization, launch readiness, executive reviews, analytics ...
Demonstrated success in enterprise-scale AI deployments and embedding AI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
Demonstrated success in enterprise-scale AI deployments and embedding AI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
Demonstrated success in enterprise-scale AI deployments andembeddingAI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
Demonstrated success in enterprise-scale AI deployments andembeddingAI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
Demonstrated success in enterprise-scale AI deployments and embedding AI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
Demonstrated success in enterprise-scale AI deployments and embedding AI into mission-critical workflows. * Experience leading cloud migrations and modernization efforts for AI and data platforms.
The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... Track record designing and delivering training, workshops, or change-management programs at scale ...
The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... Track record designing and delivering training, workshops, or change-management programs at scale ...
Measurable business value delivered at increasing scale * AI becomes embedded in how work is done--not isolated pilots Qualifications Ideal Attributes * Execution-focused: drives outcomes, not just ...
Measurable business value delivered at increasing scale * AI becomes embedded in how work is done--not isolated pilots Qualifications Ideal Attributes * Execution-focused: drives outcomes, not just ...
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow ...
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow ...
Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through infrastructure built for AI at scale. AI & Engineering leverages innovative ...
Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through infrastructure built for AI at scale. AI & Engineering leverages innovative ...
Regeneron's newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the organization. This is a high-visibility, high ...
Regeneron's newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the organization. This is a high-visibility, high ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
Full Professor & AI Research and Innovation Institute Inaugural Executive Director - College of C...
Grand Rapids, MI · On-site
$185K/yr
AI + health * AI + emerging domains Build a vibrant intellectual community that encourages ... Demonstrated success building or scaling research centers, institutes, or large collaborative ...
Full Professor & AI Research and Innovation Institute Inaugural Executive Director - College of C...
Grand Rapids, MI · On-site
$185K/yr
AI + health * AI + emerging domains Build a vibrant intellectual community that encourages ... Demonstrated success building or scaling research centers, institutes, or large collaborative ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...
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Job description
Job Description:
We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models.
Key responsibilities
- Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
- Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
- Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
- Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
- Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
- Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
- Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
- Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
- AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
- Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
- Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
- Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
- Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
- Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
- Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
- Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
- DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.
Job Description:
We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models.
Key responsibilities
- Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
- Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
- Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
- Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
- Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
- Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
- Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
- Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
- AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
- Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
- Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
- Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
- Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
- Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
- Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
- Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
- DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.
About IntraEdge
Sourced by ZipRecruiter
At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Chandler, AZ, US
Year founded
2002