Establish architectural standards for generative AI, machine learning models, and agent-based systems. * Design frameworks for multi-agent AI systems that support business workflows and decision ...
Establish architectural standards for generative AI, machine learning models, and agent-based systems. * Design frameworks for multi-agent AI systems that support business workflows and decision ...
Machine Learning & AI Infrastructure Engineer
Houston, TX · On-site
$170K - $190K/yr
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on ...
Machine Learning & AI Infrastructure Engineer
Houston, TX · On-site
$170K - $190K/yr
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on ...
Machine Learning & AI Infrastructure Engineer
Houston, TX · Remote
$190K/yr
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on ...
Machine Learning & AI Infrastructure Engineer
Houston, TX · Remote
$190K/yr
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on ...
Forge AI/Machine Learning Engineer Senior - Dallas, Tx
Grand Prairie, TX · On-site
$117K - $154K/yr
Build and implement edge-deployed AI/ML solutions for classified, air-gapped environments. * Lead ... strong background in machine learning, deep learning, and generative AI such as LLMs • ...
Forge AI/Machine Learning Engineer Senior - Dallas, Tx
Grand Prairie, TX · On-site
$117K - $154K/yr
Build and implement edge-deployed AI/ML solutions for classified, air-gapped environments. * Lead ... strong background in machine learning, deep learning, and generative AI such as LLMs • ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML ...
About The Role The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...
Forge AI/Machine Learning Engineer Senior - Dallas, Tx
Grand Prairie, TX · On-site
$99K - $137K/yr
You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire ...
Forge AI/Machine Learning Engineer Senior - Dallas, Tx
Grand Prairie, TX · On-site
$99K - $137K/yr
You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire ...
You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire ...
You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire ...
Sr Machine Learning Engineer
Farmers Branch, TX · On-site
$117K - $155K/yr
Job Title: Sr Software Engineer (Machine Learning) Locations: Pittsburgh PA 15222 or Strongsville ... edge AI technologies. Must Have Technical Skills: • Python • LLM Basics • RAG • Systems ...
New
Sr Machine Learning Engineer
Farmers Branch, TX · On-site
$117K - $155K/yr
Job Title: Sr Software Engineer (Machine Learning) Locations: Pittsburgh PA 15222 or Strongsville ... edge AI technologies. Must Have Technical Skills: • Python • LLM Basics • RAG • Systems ...
New
Staff Machine Learning Engineer
$120K - $550K/yr
... edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for ... About the Role As a Machine Learning Engineer in our Applied Group, you will have the opportunity ...
Quick apply
Staff Machine Learning Engineer
$120K - $550K/yr
... edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for ... About the Role As a Machine Learning Engineer in our Applied Group, you will have the opportunity ...
Machine Learning Engineer
Austin, TX · On-site
... edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. • Execute comprehensive data analysis, including ...
Machine Learning Engineer
Austin, TX · On-site
... edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. • Execute comprehensive data analysis, including ...
Machine Learning Engineer
Austin, TX · On-site
... edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. · Execute comprehensive data analysis, including ...
Machine Learning Engineer
Austin, TX · On-site
... edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. · Execute comprehensive data analysis, including ...
Machine Learning Engineer
Austin, TX · On-site
Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ... ai.
Machine Learning Engineer
Austin, TX · On-site
Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ... ai.
Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ... generative AI. * At least three years of experience developing neural network-based algorithms ...
Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ... generative AI. * At least three years of experience developing neural network-based algorithms ...
Machine Learning Engineer
Austin, TX · On-site
... Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel ... AI. • At least three years of experience developing neural network-based algorithms, including ...
Machine Learning Engineer
Austin, TX · On-site
... Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel ... AI. • At least three years of experience developing neural network-based algorithms, including ...
Machine Learning for Physical Design Intern - CPU/AI Hardware
Austin, TX · On-site
$50 - $70/hr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance ... Experienced in solving problems with Machine Learning models. * Skilled in algorithms, data ...
Machine Learning for Physical Design Intern - CPU/AI Hardware
Austin, TX · On-site
$50 - $70/hr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance ... Experienced in solving problems with Machine Learning models. * Skilled in algorithms, data ...
Machine Learning Engineer
Austin, TX · On-site
This team is investing heavily in AI-driven innovation to improve operational efficiency ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site
This team is investing heavily in AI-driven innovation to improve operational efficiency ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel)
Quick apply
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel)
... AI and machine learning concepts, including deep learning frameworks and tools • Experience with Pipeline Automation, such as GitLab • Familiarity with cloud computing services such as AWS • ...
... AI and machine learning concepts, including deep learning frameworks and tools • Experience with Pipeline Automation, such as GitLab • Familiarity with cloud computing services such as AWS • ...
Director of AI
Spring, TX · On-site
$174K - $278K/yr
HP is leveraging cutting-edge AI methodologies to unlock transformative value for the company. New ... The HP Enterprise AI & Machine Learning team is at the center of this transformation, driving ...
New
Director of AI
Spring, TX · On-site
$174K - $278K/yr
HP is leveraging cutting-edge AI methodologies to unlock transformative value for the company. New ... The HP Enterprise AI & Machine Learning team is at the center of this transformation, driving ...
New
Edge Ai Machine Learning information
What is an Edge AI Machine Learning job?
An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.
What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?
One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.
What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?
To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.
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Job description
The Director of AI/ML leads the strategy, architecture, and delivery of enterprise artificial intelligence and robotic process automation (RPA) capabilities across the organization’s data platform. This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation solutions. The Director partners closely with Data Engineering, Reporting, and business teams to operationalize AI and automation capabilities using Databricks and Microsoft technologies. This role ensures solutions are scalable, secure, and governed while delivering measurable operational efficiency and business value.
Essential Functions and Duties AI Strategy & Architecture LeadershipLead the development and execution of enterprise AI and intelligent automation strategy.
- Define and implement the enterprise AI architecture using Databricks AI capabilities.
- Establish architectural standards for generative AI, machine learning models, and agent-based systems.
- Design frameworks for multi-agent AI systems that support business workflows and decision-making.
- Identify high-impact AI and automation opportunities across business units.
- Align AI initiatives with the enterprise data platform and overall technology strategy.
Build and lead a high-performing team responsible for delivering AI and intelligent automation solutions.
- Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation developers.
- Establish engineering standards and best practices for AI development and automation implementation.
- Oversee the design, development, testing, and deployment of AI and automation solutions.
- Coordinate work across AI engineering, data engineering, reporting teams, and business stakeholders.
Lead the design and implementation of modern AI architectures including generative AI and agentic systems.
- Implement multi-agent AI architectures for automation and operational decision support.
- Deploy AI solutions leveraging Databricks capabilities including MLflow, vector search, and model serving.
- Implement Retrieval Augmented Generation (RAG) architectures using governed enterprise data.
- Lead adoption of conversational AI platforms including Databricks Genie and Microsoft Copilot integrations.
Lead the robotic process automation (RPA) function within the department and drive enterprise automation initiatives.
- Define the enterprise strategy for robotic process automation using Microsoft Power Automate.
- Identify business processes suitable for automation and prioritize initiatives based on operational impact.
- Oversee the design and development of automation workflows and automated business processes.
- Integrate AI models and agent-based systems into automation workflows to enable intelligent decision-making.
- Establish governance, monitoring, and reliability standards for automation solutions.
- Collaborate with business units to streamline processes and reduce manual effort through automation.
Ensure AI and automation solutions comply with enterprise governance, security, and compliance requirements.
- Establish policies and standards for responsible AI and intelligent automation.
- Ensure compliance with enterprise security, privacy, and data governance policies.
- Implement evaluation frameworks to measure AI performance, accuracy, and reliability.
- Maintain transparency and auditability of automated and AI-driven decisions.
Partner with technology and business leaders to operationalize AI and automation capabilities.
- Collaborate with Data Engineering teams to leverage curated enterprise data for AI solutions.
- Partner with Reporting and Analytics teams to embed AI outputs into business insights and decision tools.
- Work with business stakeholders to translate operational challenges into AI-enabled and automated solutions.
- Communicate AI and automation capabilities, risks, and value to both technical and non-technical audiences.
- Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.
- Displays dedication to position responsibilities and achieves assigned goals and objectives.
- Represents the Company in a professional manner and appearance.
- Works effectively with co-workers, internal and external customers by sharing ideas constructively and addressing issues collaboratively.
- Keeps stakeholders informed of work progress, timelines, and issues.
- Complies with the policies and procedures stated in the Injury and Illness Prevention Program.
- Ensures conduct is consistent with all Compliance Program Policies when engaging in company activities.
- Performs other duties as assigned.
Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
Required Knowledge- Advanced knowledge of artificial intelligence, machine learning, and generative AI technologies.
- Knowledge of agent-based AI architectures and multi-agent systems.
- Knowledge of robotic process automation (RPA) concepts and intelligent automation strategies.
- Understanding of enterprise AI governance, security, and model lifecycle management.
- Familiarity with Microsoft Copilot platforms and conversational AI technologies.
- Familiarity with Databricks AI platform capabilities including MLflow and vector search.
- Knowledge of vector databases, embeddings, and semantic AI architectures.
- 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.
- At least 12–15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
- Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate is strongly preferred.
- Strong leadership and team management capabilities.
- Expertise designing enterprise AI architectures and machine learning platforms.
- Experience implementing generative AI and agent-based systems.
- Experience with Databricks AI capabilities including MLflow and model serving.
- Experience integrating AI capabilities with Microsoft Copilot platforms.
- Strong strategic thinking and problem-solving abilities.
- Excellent verbal and written communication skills.
- Ability to translate business challenges into AI and automation solutions.
- Experience implementing robotic process automation using Microsoft Power Automate.
- Experience with conversational AI platforms such as Databricks Genie.
- Experience implementing multi-agent orchestration frameworks.
- Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms.
- Experience with AI-based video or image processing technologies.
Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working condition include normal office setting.
Mental DemandsLearning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
EEO/AAP StatementFFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
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