Staff Software Engineer
Milwaukee, WI · On-site
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... using open models or APIs). • Expertise in designing AI-first architectures, including ...
Staff Software Engineer
Milwaukee, WI · On-site
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... using open models or APIs). • Expertise in designing AI-first architectures, including ...
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... Strong skills in AI model deployment, cost optimization, and fine-tuning. * Deep understanding of ...
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... Strong skills in AI model deployment, cost optimization, and fine-tuning. * Deep understanding of ...
Staff Software Engineer
Milwaukee, WI · On-site
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... Strong skills in AI model deployment, cost optimization, and fine-tuning. * Deep understanding of ...
Staff Software Engineer
Milwaukee, WI · On-site
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first ... Strong skills in AI model deployment, cost optimization, and fine-tuning. * Deep understanding of ...
Senior Software Engineer
Milwaukee, WI · On-site
$120K - $158K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools and machine learning models. You ...
Senior Software Engineer
Milwaukee, WI · On-site
$120K - $158K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools and machine learning models. You ...
Senior Software Engineer Applied AI
Madison, WI · Remote
$123K - $162K/yr
Senior Software Engineer: Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · ... End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ...
Senior Software Engineer Applied AI
Madison, WI · Remote
$123K - $162K/yr
Senior Software Engineer: Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · ... End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ...
Senior Software Engineer - Generative AI
$132K - $167K/yr
... model safety. * Participate in regular attendance and complete mandatory training programs as ... in software engineering, including experience integrating AI capabilities into production ...
Senior Software Engineer - Generative AI
$132K - $167K/yr
... model safety. * Participate in regular attendance and complete mandatory training programs as ... in software engineering, including experience integrating AI capabilities into production ...
Senior Software Engineer - Generative AI
Sheboygan, WI · On-site +1
$132K - $167K/yr
... model safety. * Participate in regular attendance and complete mandatory training programs as ... in software engineering, including experience integrating AI capabilities into production ...
Senior Software Engineer - Generative AI
Sheboygan, WI · On-site +1
$132K - $167K/yr
... model safety. * Participate in regular attendance and complete mandatory training programs as ... in software engineering, including experience integrating AI capabilities into production ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... software engineering, and automation frameworks to drive efficiency and innovation in business ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
AI Engineer
Glendale, WI · On-site
... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...
AI Engineer
Glendale, WI · On-site
... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
Senior Software Engineer
$120K - $159K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
Senior Software Engineer
$120K - $159K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
Senior Software Engineer
Milwaukee, WI · On-site
$120K - $159K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
Senior Software Engineer
Milwaukee, WI · On-site
$120K - $159K/yr
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and ...
Staff Engineer, AI
Madison, WI · On-site
You track where the field is heading and design systems that will adapt gracefully as models and ... What You Bring * 7+ years of software engineering experience, including 2+ years building AI/ML ...
Staff Engineer, AI
Madison, WI · On-site
You track where the field is heading and design systems that will adapt gracefully as models and ... What You Bring * 7+ years of software engineering experience, including 2+ years building AI/ML ...
AI Engineer
Glendale, WI · On-site +1
... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...
AI Engineer
Glendale, WI · On-site +1
... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...
Software Engineer Ai Model Training information
What are some common challenges faced by Software Engineers specializing in AI model training, and how can they be addressed?
Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.
What are the key skills and qualifications needed to thrive as a Software Engineer in AI Model Training, and why are they important?
To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.
What is the difference between Software Engineer Ai Model Training vs Data Scientist?
| Aspect | Software Engineer Ai Model Training | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, related field; experience with ML frameworks | Bachelor's or higher in CS, statistics, or related field; strong analytical skills |
| Work Environment | Development teams, AI labs, cloud platforms | Data analysis, research environments, business units |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Tech firms, finance, healthcare, consulting |
While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.
What does a Software Engineer in AI Model Training do?
A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.
What are popular job titles related to Software Engineer Ai Model Training jobs in Wisconsin? For Software Engineer Ai Model Training jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Model Training jobs in Wisconsin look for? The top searched job categories for Software Engineer Ai Model Training jobs in Wisconsin are:
What cities in Wisconsin are hiring for Software Engineer Ai Model Training jobs? Cities in Wisconsin with the most Software Engineer Ai Model Training job openings:
Job description
Job Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. In the Staff Software Engineer position, you’ll play a critical role in shaping AI-first engineering practices, setting technical direction, and driving the adoption of cutting-edge AI capabilities across multiple teams.
Responsibilities:
• Define and execute the AI engineering strategy, embedding AI-first principles across teams and projects.
• Architect and scale AI-enhanced systems, integrating LLMs, agentic workflows, and composable architectures.
• Mentor engineers, sharing expertise in AI-first methodologies and best practices.
• Lead cross-functional AI initiatives, incorporating NLP, computer vision, and generative AI into products.
• Implement AI-powered developer tools to streamline development and boost efficiency.
• Drive experimentation and bridge the gap between AI research and production-ready applications.
• Partner with leadership to develop AI adoption roadmaps aligned with business objectives.
• Ensure security, scalability, and AI observability throughout the software lifecycle.
• Make key decisions on technical trade-offs, architecture, and AI tooling.
Qualifications:
Required:
• 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
• Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
• Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
• Strong skills in AI model deployment, cost optimization, and fine-tuning.
• Deep understanding of security, compliance, and ethical considerations in AI development.
• Ability to mentor and influence senior engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
• Technical expertise in AI integration across natural language processing, computer vision, and generative models.
Preferred:
• Experience leading AI-first engineering transformations across teams.
• Contributions to open-source AI projects or AI thought leadership.
• Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
• Industry engagement through conferences, research initiatives, or AI-first development communities.
• Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).
Company:
The Direct Supply family of companies cares for every critical area of Senior Living, providing everything from equipment and eCommerce to Founded in 1985, the company is headquartered in Milwaukee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. In the Staff Software Engineer position, you’ll play a critical role in shaping AI-first engineering practices, setting technical direction, and driving the adoption of cutting-edge AI capabilities across multiple teams.
Responsibilities:
• Define and execute the AI engineering strategy, embedding AI-first principles across teams and projects.
• Architect and scale AI-enhanced systems, integrating LLMs, agentic workflows, and composable architectures.
• Mentor engineers, sharing expertise in AI-first methodologies and best practices.
• Lead cross-functional AI initiatives, incorporating NLP, computer vision, and generative AI into products.
• Implement AI-powered developer tools to streamline development and boost efficiency.
• Drive experimentation and bridge the gap between AI research and production-ready applications.
• Partner with leadership to develop AI adoption roadmaps aligned with business objectives.
• Ensure security, scalability, and AI observability throughout the software lifecycle.
• Make key decisions on technical trade-offs, architecture, and AI tooling.
Qualifications:
Required:
• 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
• Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
• Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
• Strong skills in AI model deployment, cost optimization, and fine-tuning.
• Deep understanding of security, compliance, and ethical considerations in AI development.
• Ability to mentor and influence senior engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
• Technical expertise in AI integration across natural language processing, computer vision, and generative models.
Preferred:
• Experience leading AI-first engineering transformations across teams.
• Contributions to open-source AI projects or AI thought leadership.
• Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
• Industry engagement through conferences, research initiatives, or AI-first development communities.
• Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).
Company:
The Direct Supply family of companies cares for every critical area of Senior Living, providing everything from equipment and eCommerce to Founded in 1985, the company is headquartered in Milwaukee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.