Jr. AI Data scientist
Waukesha, WI · On-site
Datum Technologies Group is looking for a Jr. AI Data Scientist to design and implement intelligent solutions that enhance service documentation workflows. The role focuses on automated proofreading ...
Jr. AI Data scientist
Waukesha, WI · On-site
Datum Technologies Group is looking for a Jr. AI Data Scientist to design and implement intelligent solutions that enhance service documentation workflows. The role focuses on automated proofreading ...
AI Specialist
Brookfield, WI · Hybrid
$125K - $160K/yr
AI Solutions Specialist Hybrid position Position Summary The AI Solutions Specialist will lead the adoption and implementation of AI technologies across the organization. This role partners with ...
Quick apply
AI Specialist
Brookfield, WI · Hybrid
$125K - $160K/yr
AI Solutions Specialist Hybrid position Position Summary The AI Solutions Specialist will lead the adoption and implementation of AI technologies across the organization. This role partners with ...
AI Specialist
Brookfield, WI · Hybrid
$125K - $160K/yr
AI Solutions Specialist Hybrid position Position Summary The AI Solutions Specialist will lead the adoption and implementation of AI technologies across the organization. This role partners with ...
Quick apply
AI Specialist
Brookfield, WI · Hybrid
$125K - $160K/yr
AI Solutions Specialist Hybrid position Position Summary The AI Solutions Specialist will lead the adoption and implementation of AI technologies across the organization. This role partners with ...
Artificial Intelligence (AI) Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs.
Artificial Intelligence (AI) Tutor
Milwaukee, WI · Remote
$18 - $40/hr
Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs.
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
We then develop and implement the processes and technologies to execute a sustainable and scalable ... THE ROLE Our client is seeking an Internal Forward Deployed AI Engineer to build and deploy AI ...
Quick apply
We then develop and implement the processes and technologies to execute a sustainable and scalable ... THE ROLE Our client is seeking an Internal Forward Deployed AI Engineer to build and deploy AI ...
Ai Engineer
Milwaukee, WI · On-site
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...
Ai Engineer
Milwaukee, WI · On-site
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...
AI Developer (46305)
Milwaukee, WI · On-site
$125 - $150/hr
Design, develop, and implement custom software applications from concept to deployment. * Utilize AI-assisted development tools to accelerate coding, testing, debugging, and documentation.
AI Developer (46305)
Milwaukee, WI · On-site
$125 - $150/hr
Design, develop, and implement custom software applications from concept to deployment. * Utilize AI-assisted development tools to accelerate coding, testing, debugging, and documentation.
Ai Engineer
Milwaukee, WI · On-site
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...
Ai Engineer
Milwaukee, WI · On-site
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...
Principal AI Engineer - AI Tutor
Belgium, WI · On-site +1
Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. * Collaborate cross-functionally with ...
Principal AI Engineer - AI Tutor
Belgium, WI · On-site +1
Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. * Collaborate cross-functionally with ...
AI Internships
$21 - $25/hr
Gain practical experience in implementing GenAI and Agentic AI use cases * Contribute to ongoing projects and learn from real-world challenges * Assist with research, data analysis, and development ...
AI Internships
$21 - $25/hr
Gain practical experience in implementing GenAI and Agentic AI use cases * Contribute to ongoing projects and learn from real-world challenges * Assist with research, data analysis, and development ...
Principal AI Engineer - AI Tutor
Belgium, WI · On-site +1
Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. * Collaborate cross-functionally with ...
Principal AI Engineer - AI Tutor
Belgium, WI · On-site +1
Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. * Collaborate cross-functionally with ...
Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. * Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment ...
Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. * Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment ...
AI Internships
Wauwatosa, WI · On-site
$21 - $25/hr
Gain practical experience in implementing GenAI and Agentic AI use cases * Contribute to ongoing projects and learn from real-world challenges * Assist with research, data analysis, and development ...
AI Internships
Wauwatosa, WI · On-site
$21 - $25/hr
Gain practical experience in implementing GenAI and Agentic AI use cases * Contribute to ongoing projects and learn from real-world challenges * Assist with research, data analysis, and development ...
Principal Data & AI Architect
Waukesha, WI · On-site
$150 - $200/hr
Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment ...
Principal Data & AI Architect
Waukesha, WI · On-site
$150 - $200/hr
Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment ...
Ai Implementation information
See Milwaukee, WI salary details
$38.4K - $50K
7% of jobs
$50K - $61.5K
4% of jobs
$72.6K is the 25th percentile. Wages below this are outliers.
$61.5K - $73.1K
14% of jobs
$73.1K - $84.6K
15% of jobs
The median wage is $92.6K / yr.
$84.6K - $96.2K
14% of jobs
$96.2K - $107.7K
14% of jobs
$114K is the 75th percentile. Wages above this are outliers.
$107.7K - $119.3K
13% of jobs
$119.3K - $130.9K
7% of jobs
$130.9K - $142.4K
5% of jobs
$142.4K - $154K
3% of jobs
$154K - $165.5K
3% of jobs
$38.4K
$102K
$165.5K
How much do ai implementation jobs pay per year?
As of Sep 8, 2026, the average yearly pay for ai implementation in Milwaukee, WI is $101,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $119,200.00 per year, depending on experience, location, and employer.
What is an AI implementation?
An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.
What are the key skills and qualifications needed to thrive in the AI implementation position?
To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.
What kinds of teams and departments does an AI implementation professional typically collaborate with?
AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.
How to become an AI implementation specialist?
To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.
How to get into AI implementation?
To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.
What are popular job titles related to Ai Implementation jobs in Milwaukee, WI?
For Ai Implementation jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Milwaukee, WI look for?
The top searched job categories for Ai Implementation jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Ai Implementation jobs?
Cities near Milwaukee, WI with the most Ai Implementation job openings:
Full-time
Re-posted 23 days ago
Job description
Job Summary:
Datum Technologies Group is looking for a Jr. AI Data Scientist to design and implement intelligent solutions that enhance service documentation workflows. The role focuses on automated proofreading, multilingual translation, and developing a conversational assistant for field engineers using advanced AI technologies.
Responsibilities:
• Architect AI Solutions
• Design and implement AI-driven systems for document proofreading, translation, and chatbot development.
• Define scalable architectures using LLMs, vector databases, and orchestration frameworks.
• Document Intelligence
• Build pipelines for grammar and consistency checks across service manuals.
• Automate detection of missing sections, formatting issues, and terminology mismatches.
• Translation Automation
• Develop multilingual translation workflows for structured and unstructured service content.
• Ensure semantic accuracy and formatting preservation across languages.
• Conversational AI
• Create a chatbot for service engineers that can answer technical queries using internal documentation.
• Integrate RAG pipelines to enhance retrieval accuracy and contextual relevance.
• Agentic AI Integration
• Apply agentic AI principles to enable autonomous task execution and decision-making.
• Implement memory, tool use, and feedback loops for adaptive behavior.
• Collaboration & Delivery
• Work closely with delivery leads, product managers, and engineering teams to align on PoC goals.
• Provide technical leadership and mentorship to junior developers.
Qualifications:
Required:
• Strong experience with LLMs, NLP, and RAG-based architectures.
• Proficiency in LangChain, LangGraph, or similar orchestration frameworks.
• Experience with document AI, translation models, and chatbot development.
• Familiarity with agentic AI systems and autonomous agents.
• Excellent communication and stakeholder engagement skills.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Datum Technologies Group is looking for a Jr. AI Data Scientist to design and implement intelligent solutions that enhance service documentation workflows. The role focuses on automated proofreading, multilingual translation, and developing a conversational assistant for field engineers using advanced AI technologies.
Responsibilities:
• Architect AI Solutions
• Design and implement AI-driven systems for document proofreading, translation, and chatbot development.
• Define scalable architectures using LLMs, vector databases, and orchestration frameworks.
• Document Intelligence
• Build pipelines for grammar and consistency checks across service manuals.
• Automate detection of missing sections, formatting issues, and terminology mismatches.
• Translation Automation
• Develop multilingual translation workflows for structured and unstructured service content.
• Ensure semantic accuracy and formatting preservation across languages.
• Conversational AI
• Create a chatbot for service engineers that can answer technical queries using internal documentation.
• Integrate RAG pipelines to enhance retrieval accuracy and contextual relevance.
• Agentic AI Integration
• Apply agentic AI principles to enable autonomous task execution and decision-making.
• Implement memory, tool use, and feedback loops for adaptive behavior.
• Collaboration & Delivery
• Work closely with delivery leads, product managers, and engineering teams to align on PoC goals.
• Provide technical leadership and mentorship to junior developers.
Qualifications:
Required:
• Strong experience with LLMs, NLP, and RAG-based architectures.
• Proficiency in LangChain, LangGraph, or similar orchestration frameworks.
• Experience with document AI, translation models, and chatbot development.
• Familiarity with agentic AI systems and autonomous agents.
• Excellent communication and stakeholder engagement skills.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.