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Artificial Intelligence Machine Learning Engineer Jobs in Erlanger, KY

... artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization * Collaborate with ...

... machine learning, advanced analytics, or artificial intelligence to real-world business problems ... Understanding of software engineering practices including APIs, version control, automated testing ...

... machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision ... PhD in Artificial Intelligence, Computer or Data Science, or related field; * Preferably several ...

... machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision ... PhD in Artificial Intelligence, Computer or Data Science, or related field; * Preferably several ...

... machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision ... PhD in Artificial Intelligence, Computer or Data Science, or related field; * Preferably several ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Erlanger, KY salary details

$31.1K

$127K

$190.8K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for artificial intelligence machine learning engineer in Erlanger, KY is $126,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $152,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Erlanger, KY?

For Artificial Intelligence Machine Learning Engineer jobs in Erlanger, KY, the most frequently searched job titles are:

What cities near Erlanger, KY are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Erlanger, KY with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Erlanger, KY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $126,960 per year, or $61 per hour.

Oracle Gen AI Manager

Deloitte

Cincinnati, OH

Full-time

Re-posted 19 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve business performance and shareholder value, along with operational effectiveness and efficiency. Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact on growth. Do you want to be a part of a team that transforms the business landscape for its clients? Do you want to be on the winning team that drives transformation, improves productivity, and streamlines business operations with AI? Do you feel your skills surpass those of your peers and colleagues? If your answer is yes to all these questions, it's very nice to meet you and we want to hear from you immediately!

Recruiting for this role ends on 08/31/2026.

Work you'll do

As an Oracle Gen AI Architect Manager on the Oracle team, you will translate business requirements into scalable AI solutions using Oracle Cloud Infrastructure services and modern AI frameworks. You will help organizations improve automation, insight, and operational efficiency while applying emerging technologies such as Microsoft Copilot, Google Cloud Agent Space, LangGraph, Glean, and other enterprise AI platforms to drive business value.

  • Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications
  • Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations
  • Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives
  • Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization
  • Collaborate with stakeholders, mentor delivery teams, lead technical reviews, and support pilot deployments that drive business outcomes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Oracle offering drives business transformation services to improve performance and value delivered by the full suite of Oracle solutions.

Got your head in the cloud? With so much technology moving to the Cloud, our business requirements are taking us to new heights. By harnessing the power of Oracle ERP Cloud, you can streamline enterprise business processes with ERP Cloud's Financials, Procurement, or Portfolio Management. Do you have the ability to transform an organization through the latest social, mobile, and analytic technologies? We're looking for someone that can increase the effectiveness of decision making and drive innovation. If your head is in the cloud, find out where we can take you with Oracle Enterprise Solutions. Learn more about our Oracle practice.

Qualifications

Required:

  • Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a related field
  • 8+ years of experience in enterprise architecture, including 2+ years of experience in artificial intelligence, machine learning, or generative artificial intelligence solution architecture
  • Experience with Oracle Cloud Infrastructure services, including Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud
  • Experience designing solutions using large language models, embeddings, retrieval-augmented generation, multi-agent systems, and integrations with enterprise applications
  • Experience with security, compliance, and governance in cloud and enterprise environments, and experience with Python, Structured Query Language, REST APIs, and cloud-native architecture patterns
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Oracle Fusion AI Studio and Redwood UI extensions
  • Experience with Oracle ERP Cloud modules, including Financials, supply chain management, Procurement, and human capital management, or with Oracle E-Business Suite, JD Edwards, or PeopleSoft
  • Experience with enterprise AI platforms such as Glean, Moveworks, or similar enterprise search and productivity AI platforms
  • Experience working across OCI and at least one additional cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face
  • Experience leading AI or ERP transformation programs for large enterprises

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#EPCORE and #ORACLECORE

Qualifications:

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve business performance and shareholder value, along with operational effectiveness and efficiency. Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact on growth. Do you want to be a part of a team that transforms the business landscape for its clients? Do you want to be on the winning team that drives transformation, improves productivity, and streamlines business operations with AI? Do you feel your skills surpass those of your peers and colleagues? If your answer is yes to all these questions, it's very nice to meet you and we want to hear from you immediately!

Recruiting for this role ends on 08/31/2026.

Work you'll do

As an Oracle Gen AI Architect Manager on the Oracle team, you will translate business requirements into scalable AI solutions using Oracle Cloud Infrastructure services and modern AI frameworks. You will help organizations improve automation, insight, and operational efficiency while applying emerging technologies such as Microsoft Copilot, Google Cloud Agent Space, LangGraph, Glean, and other enterprise AI platforms to drive business value.

  • Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications
  • Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations
  • Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives
  • Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization
  • Collaborate with stakeholders, mentor delivery teams, lead technical reviews, and support pilot deployments that drive business outcomes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Oracle offering drives business transformation services to improve performance and value delivered by the full suite of Oracle solutions.

Got your head in the cloud? With so much technology moving to the Cloud, our business requirements are taking us to new heights. By harnessing the power of Oracle ERP Cloud, you can streamline enterprise business processes with ERP Cloud's Financials, Procurement, or Portfolio Management. Do you have the ability to transform an organization through the latest social, mobile, and analytic technologies? We're looking for someone that can increase the effectiveness of decision making and drive innovation. If your head is in the cloud, find out where we can take you with Oracle Enterprise Solutions. Learn more about our Oracle practice.

Qualifications

Required:

  • Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a related field
  • 8+ years of experience in enterprise architecture, including 2+ years of experience in artificial intelligence, machine learning, or generative artificial intelligence solution architecture
  • Experience with Oracle Cloud Infrastructure services, including Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud
  • Experience designing solutions using large language models, embeddings, retrieval-augmented generation, multi-agent systems, and integrations with enterprise applications
  • Experience with security, compliance, and governance in cloud and enterprise environments, and experience with Python, Structured Query Language, REST APIs, and cloud-native architecture patterns
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Oracle Fusion AI Studio and Redwood UI extensions
  • Experience with Oracle ERP Cloud modules, including Financials, supply chain management, Procurement, and human capital management, or with Oracle E-Business Suite, JD Edwards, or PeopleSoft
  • Experience with enterprise AI platforms such as Glean, Moveworks, or similar enterprise search and productivity AI platforms
  • Experience working across OCI and at least one additional cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face
  • Experience leading AI or ERP transformation programs for large enterprises

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#EPCORE and #ORACLECORE

Education:Bachelor's DegreeEmployment Type:

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