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Full Time Edge Ai Machine Learning information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
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4% of jobs
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2% of jobs
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3% of jobs
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0% of jobs
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$82.3K - $88K
0% of jobs
$25.5K
$42.6K
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How much do full time edge ai machine learning jobs pay per year?
What are Full Time Edge AI Machine Learning jobs?
What are the key skills and qualifications needed to thrive as a Full Time Edge AI Machine Learning Engineer, and why are they important?
What is the difference between Full Time Edge Ai Machine Learning vs Data Scientist?
| Aspect | Full Time Edge Ai Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; experience with ML frameworks | Bachelor's or Master's in CS, Statistics, or related fields; strong programming skills |
| Work Environment | Edge devices, IoT environments, real-time data processing | Office or remote, data analysis, model development |
| Industry Usage | AI hardware companies, IoT, autonomous systems | Tech, finance, healthcare, research |
Full Time Edge Ai Machine Learning specialists focus on deploying ML models on edge devices for real-time processing, often requiring knowledge of hardware and embedded systems. Data Scientists analyze data, develop models, and interpret results primarily in cloud or office settings. While both roles involve machine learning, Edge AI emphasizes deployment on hardware, whereas Data Scientists focus on data analysis and model development.
What are some common challenges faced when deploying AI models on edge devices in a full-time Edge AI Machine Learning role?
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Job description
FFF Enterprises is a company focused on delivering innovative solutions, and they are seeking a Director of AI & Machine Learning to lead the strategy and execution of enterprise AI capabilities. The role involves building a team to deliver AI and automation solutions while ensuring compliance with governance and security standards.
Responsibilities:
โข Lead the development and execution of enterprise AI and intelligent automation strategy.
โข Define and implement the enterprise AI architecture using Databricks AI capabilities.
โข Establish architectural standards for generative AI, machine learning models, and agent-based systems.
โข Design frameworks for multi-agent AI systems that support business workflows and decision-making.
โข Identify high-impact AI and automation opportunities across business units.
โข Align AI initiatives with the enterprise data platform and overall technology strategy.
โข Build and lead a high-performing team responsible for delivering AI and intelligent automation solutions.
โข Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation developers.
โข Establish engineering standards and best practices for AI development and automation implementation.
โข Oversee the design, development, testing, and deployment of AI and automation solutions.
โข Coordinate work across AI engineering, data engineering, reporting teams, and business stakeholders.
โข Lead the design and implementation of modern AI architectures including generative AI and agentic systems.
โข Implement multi-agent AI architectures for automation and operational decision support.
โข Deploy AI solutions leveraging Databricks capabilities including MLflow, vector search, and model serving.
โข Implement Retrieval Augmented Generation (RAG) architectures using governed enterprise data.
โข Lead adoption of conversational AI platforms including Databricks Genie and Microsoft Copilot integrations.
โข Define the enterprise strategy for robotic process automation using Microsoft Power Automate.
โข Identify business processes suitable for automation and prioritize initiatives based on operational impact.
โข Oversee the design and development of automation workflows and automated business processes.
โข Integrate AI models and agent-based systems into automation workflows to enable intelligent decision-making.
โข Establish governance, monitoring, and reliability standards for automation solutions.
โข Collaborate with business units to streamline processes and reduce manual effort through automation.
โข Establish policies and standards for responsible AI and intelligent automation.
โข Ensure compliance with enterprise security, privacy, and data governance policies.
โข Implement evaluation frameworks to measure AI performance, accuracy, and reliability.
โข Maintain transparency and auditability of automated and AI-driven decisions.
โข Collaborate with Data Engineering teams to leverage curated enterprise data for AI solutions.
โข Partner with Reporting and Analytics teams to embed AI outputs into business insights and decision tools.
โข Work with business stakeholders to translate operational challenges into AI-enabled and automated solutions.
โข Communicate AI and automation capabilities, risks, and value to both technical and non-technical audiences.
Qualifications:
Required:
โข Bachelorโs Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
โข Advanced knowledge of artificial intelligence, machine learning, and generative AI technologies.
โข Knowledge of agent-based AI architectures and multi-agent systems.
โข Knowledge of robotic process automation (RPA) concepts and intelligent automation strategies.
โข Understanding of enterprise AI governance, security, and model lifecycle management.
โข At least 10 years of experience in artificial intelligence, machine learning, automation, or related technical roles, including 5 years of leadership experience managing technical teams.
โข Strong leadership and team management capabilities.
โข Expertise designing enterprise AI architectures and machine learning platforms.
โข Experience implementing generative AI and agent-based systems.
โข Experience with Databricks AI capabilities including MLflow and model serving.
โข Experience integrating AI capabilities with Microsoft Copilot platforms.
โข Strong strategic thinking and problem-solving abilities.
โข Excellent verbal and written communication skills.
โข Ability to translate business challenges into AI and automation solutions.
Preferred:
โข Familiarity with Microsoft Copilot platforms and conversational AI technologies.
โข Familiarity with Databricks AI platform capabilities including MLflow and vector search.
โข Knowledge of vector databases, embeddings, and semantic AI architectures.
โข At least 12โ15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
โข Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate is strongly preferred.
โข Experience implementing robotic process automation using Microsoft Power Automate.
โข Experience with conversational AI platforms such as Databricks Genie.
โข Experience implementing multi-agent orchestration frameworks.
โข Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms.
โข Experience with AI-based video or image processing technologies.
Company:
FFF Enterprises is a Pharmaceuticals supplier of critical-care biopharmaceuticals, plasma products and vaccines. Founded in 1988, the company is headquartered in Temecula, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About FFF Enterprises
Sourced by ZipRecruiter
Industry
Health care and social assistance
Company size
201 - 500 Employees
Headquarters location
Temecula, CA, US
Year founded
1988