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Llm Training Jobs in Wisconsin (NOW HIRING)

... Training, Versionierung und Deployment von Modellen mit Databricks MLflow Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und ...

WI · On-site

$100 - $125/hr

... LLM applications. * Collaborate on curriculum development to integrate cutting‑edge AI research and tools into the training modules. * Mentor learners through technical challenges, performance ...

On the job/cross training opportunities * Encouraging and collaborative team environment ... You build the pipelines, tooling, and applications that turn AI and LLM models into dependable ...

On the job/cross training opportunities * Encouraging and collaborative team environment ... You build the pipelines, tooling, and applications that turn AI and LLM models into dependable ...

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ...

On-the-job/cross-training opportunities * Encouraging and collaborative team environment ... Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ...

WI · On-site

$125 - $150/hr

This role is specifically responsible for the day-to-day operation of an LLM-based code ... We offer quality career resources, training, certifications, development opportunities, and a ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We offer continuous learning programs, mentorship opportunities and ongoing training. Well-Being ... Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We offer continuous learning programs, mentorship opportunities and ongoing training. Well-Being ... Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine ...

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Llm Training information

What is an LLM Training?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

What are the key skills and qualifications needed to thrive in the LLM Training position?

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

Is it possible to train Llm Training?

Training large language models (LLMs) is possible but requires significant computational resources, expertise in machine learning, and access to large datasets. It typically involves using specialized hardware like GPUs or TPUs and knowledge of frameworks such as TensorFlow or PyTorch. Many organizations opt to fine-tune pre-trained models rather than train from scratch due to the high costs and complexity involved.

What are the most commonly searched types of Llm Training jobs in Wisconsin?

The most popular types of Llm Training jobs in Wisconsin are:

What are popular job titles related to Llm Training jobs in Wisconsin?

For Llm Training jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Llm Training jobs in Wisconsin look for?

The top searched job categories for Llm Training jobs in Wisconsin are:

What cities in Wisconsin are hiring for Llm Training jobs?

Cities in Wisconsin with the most Llm Training job openings:

Infographic showing various Llm Training job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Principal Network Engineer

Sun Life Financial

Milwaukee, WI • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

96th of 315 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Owner's mindset - architecture, design, continuous improvement, documentation.

The Senior Network Engineer is responsible for the design, implementation, maintenance, and optimization of enterprise network infrastructure. This role provides advanced (Tier 3) technical support and leads the delivery of complex network solutions across LAN/WAN environments.

Operating as a senior individual contributor, this role applies deep technical expertise to solve complex problems, improve system performance, and has an owner's mindset to the architecture, documentation, delivery, and continuous improvement of infrastructure initiatives. The role works independently within established standards and actively contributes to day-to-day activities and managed projects.

The ideal candidate will have strong experience designing, implementing, and supporting enterprise network infrastructure, with expertise in Cisco routing and switching technologies, WatchGuard firewalls, AWS networking services, Infrastructure as Code, and utilizing Generative Developer tools. This role will be responsible for maintaining network reliability, security, and performance across both on-premises and cloud environments.

Candidates who possess experience with certificate lifecycle management platforms, particularly Venafi, will be given additional consideration.

Key Responsibilities

  • Provide Tier 3 support for enterprise LAN/WAN environments, including routers, switches, firewalls, and network security devices
  • Design, implement, and maintain network infrastructure solutions aligned with established architectural standards
  • Troubleshoot complex network issues and drive timely resolution to ensure service stability and performance
  • Execute network changes, upgrades, and patching activities through formal change management processes
  • Optimize network performance, reliability, and cost efficiency across infrastructure components
  • Contribute to the delivery of moderately to highly complex projects, including planning, implementation, and validation
  • Partner with internal teams (e.g., security, infrastructure, application teams) to support integrated solutions
  • Design and support AWS networking solutions, including:
    • Amazon VPCs
    • Transit Gateway
    • Direct Connect
    • Site-to-Site VPN
    • Route Tables and Network ACLs
    • Security Groups
    • Load Balancing and Hybrid Connectivity
  • Document network designs, configurations, procedures, and support models to ensure operational continuity
  • Provide technical guidance and mentorship to junior team members and support knowledge sharing within the team

Qualifications

Required

  • 5+ years of experience in network engineering within enterprise environments
  • Current AWS Certified Advanced Networking - Specialty certification
  • Strong hands-on experience with:
    • Cisco routing and switching (IOS, Nexus, enterprise hardware platforms)
    • Network protocols (e.g., BGP, MPLS, EIGRP)
    • Administering and troubleshooting WatchGuard firewall solutions, VPNs, and network security technologies
  • Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation, paired with experience utilizing Generative AI developer tools (e.g., Amazon Q, Amazon Bedrock, or AI coding assistants) to accelerate code generation, automate network compliance validation, and scale CI/CD network deployment pipelines
  • Deep expertise designing and optimizing high-performance AWS cloud network architectures tailored for AI/ML workloads.
    • Demonstrated ability to configure and scale data-transfer pipelines to Amazon S3 and compute clusters, managing high-bandwidth, ultra-low-latency traffic patterns.
    • Knowledge of advanced networking protocols and mechanisms for AI data clusters (e.g., congestion control protocols, minimizing packet loss, and maximizing throughput) to support seamless Large Language Model (LLM) training and inference deployments
  • Experience supporting and maintaining large-scale LAN/WAN environments
  • Strong troubleshooting, diagnostic, and problem-solving capabilities
  • Knowledge of Zero Trust and modern network security architectures
  • Experience with change management and operational support processes
  • Strong written and verbal communication skills
  • Bachelor's degree or equivalent experience

Preferred

  • Cisco or security certifications (e.g., CCNP, CCIE, CCSE)
  • Experience with network security tools (IDS/IPS, SIEM, proxies, etc.)
  • Experience with Venafi certificate lifecycle management and PKI administration.
  • Exposure to virtualization environments (e.g., VMware)

Salary Range: $70,300 - $105,500
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

IT - Technology Services

Posting End Date:

28/08/2026

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