Senior AI/ML Engineer

VARITE INC; Glendale (WI); Hybrid; USD 124,000 - 138,000; Full time

Benefits offered by this job

Health Insurance

Retirement Plans

Legal Service Plans

Job summary

VARITE is seeking a Senior AI/ML Engineer for a 6-month assignment in Glendale, WI. Hybrid work mode with a focus on building AI-powered features for intelligent buildings.

The role involves designing and deploying AI/ML models, integrating GenAI capabilities, and elevating AI engineering practices alongside software engineers, data scientists, and product leaders. The candidate should bring 7+ years in software engineering, 5+ years in ML, strong Python skills, and experience with

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• 7+ years of software engineering experience.
• 5+ years of hands-on ML development and deployment.
• Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Experience with Generative AI and Large Language Models (LLMs).
• Familiarity with AWS, Azure, or Google Cloud Platform.
• Strong software architecture, APIs, data pipelines, and production deployment knowledge.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and deploy AI/ML models and GenAI features across cloud, edge, and on-prem environments.
• Develop LLM-powered capabilities like operator copilots and intelligent alarm analysis.
• Integrate AI into existing smart building products and platforms.
• Create scalable inference and deployment architectures for production AI workloads.
• Collaborate with software engineering and product teams to translate business needs into AI solutions.
• Monitor and improve model performance, reliability, and accuracy.
• Lead AI practices and tooling adoption across the organization.

Skills

Python

AI/ML

Cloud platforms

Software architecture

Communication

Collaboration

LLM

GenAI

Education

Bachelor's degree in Computer Science/Software Engineering/Data Science

Tools

PyTorch

TensorFlow

Scikit-learn

AWS

Azure

GCP

Job description

VARITE is looking for a qualified Senior AI/ML Engineer for one of its clients located in Glendale, WI.

WHAT THE CLIENT DOES?

A global leader in smart building technologies, energy solutions, and industrial automation. The company provides products and services that optimize energy efficiency, sustainability, and performance across buildings, industrial facilities, and vehicles.

WHAT WE DO?

Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services.

• Job Title: Senior AI/ML Engineer
• Duration: 06 months
• Location: Glendale, WI
• Work Mode: Hybrid
• Pay Rate Range: $90.00 - $100.00/hr on W2

Controls Software Team | Global Controls Engineering, Building Technologies & Solutions

Reports To: Senior Director, Controls Software, Global Controls Engineering

About the Role

• Join a team transforming the future of intelligent buildings.
• We are bringing Artificial Intelligence into some of the world's most complex and demanding environments, including data centers, hospitals, pharmaceutical facilities, commercial campuses, and other mission-critical spaces. Our goal is to evolve smart building products into AI-native platforms that can reason about building operations, assist operators with intelligent decision-making, and accelerate how engineering teams develop and deliver software.
• As a Senior AI/ML Engineer, you will play a central role in this transformation. You will be responsible for both building innovative AI-powered product capabilities and elevating AI engineering practices across the Controls Software organization. This role offers the opportunity to influence product strategy, architecture, and engineering excellence while working alongside software engineers, data scientists, and product leaders.

Your work will focus on two equally important areas:

Pillar 1: Build AI-Powered Products - As a technical contributor, you will design, develop, and deploy AI/ML solutions that create measurable value for customers and operators.

Responsibilities include:

• Design, build, and deploy AI/ML models and GenAI capabilities across cloud, edge, and on-premises environments.
• Develop LLM-powered features, including operator copilots, intelligent alarm analysis, automated recommendations, and natural language interfaces.
• Integrate AI capabilities into existing smart building products and platforms.
• Develop scalable inference and deployment architectures for production AI workloads.
• Partner with software engineering and product teams to translate business needs into AI-enabled solutions.
• Monitor, evaluate, and continuously improve model performance, reliability, and accuracy.

Pillar 2: Accelerate Team Capability & Velocity - As an AI advocate and technical leader, you will help the broader engineering organization adopt modern AI practices and tooling.

Responsibilities include:

• Identify and implement AI-assisted developer tools that improve software delivery velocity.
• Leverage AI to enhance code generation, software testing, code reviews, and CI/CD workflows.
• Establish AI engineering best practices, standards, and governance across teams.
• Mentor engineers on AI technologies, frameworks, and implementation strategies.
• Evaluate emerging AI tools and technologies and recommend opportunities for adoption.
• Drive the responsible and practical use of AI throughout the software development lifecycle.

WHAT YOU’LL NEED TO WIN:

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• 7+ years of software engineering experience with a strong foundation in modern development practices.
• 5+ years of hands-on experience developing and deploying machine learning solutions.
• Experience with Python and common AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building and integrating Generative AI and Large Language Model (LLM) solutions.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of software architecture, APIs, data pipelines, and production deployment practices.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.
• Experience deploying AI solutions in edge or IoT environments.
• Knowledge of MLOps practices, model monitoring, and AI governance.
• Familiarity with Building Automation Systems (Client), industrial controls, IoT, or smart building technologies.
• Experience supporting Agile/Scrum development teams.

Why Join Us?

• Shape the future of AI-enabled smart buildings.
• Work on real-world challenges in mission-critical environments.
• Influence both product innovation and engineering transformation.
• Collaborate with a highly skilled, cross-functional team of software engineers, data scientists, and product leaders.
• Drive meaningful business impact through cutting-edge AI and machine learning solutions.

If you're passionate about applying AI to solve complex operational challenges and want to help build the next generation of intelligent building technology, we'd love to hear from you.

BENEFITS

• Health Insurance: Medical, dental, and vision coverage
• Retirement Plans: Participation in a company-sponsored retirement savings plan.
• Legal Service Plans: Offering access to attorneys for legal advice and representation.

Know someone who would be perfect for this role? Refer them to us and if they are hired, you could be eligible for our employee referral bonus! Help us grow our team with top talent from your network.

VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status