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<h3>Job Description</h3>
Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.
 
They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here.
 
What You’ll Work On
<ul>
<li>Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment</li>
<li>Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights</li>
<li>Transforming research concepts into scalable production systems used by enterprise customers</li>
<li>Architecting efficient, privacy-conscious model-serving infrastructure</li>
<li>Collaborating across engineering, product, and research to rapidly experiment and iterate</li>
<li>Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter</li>
</ul>
 
Who Thrives Here
<ul>
<li>Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)</li>
<li>Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems</li>
<li>Candidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML/AI features</li>
<li>People who enjoy working in ambiguous, zero-to-one environments and want significant ownership</li>
<li>Curious thinkers who care about model performance, reliability, and how their work impacts real users</li>
<li>Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale</li>
</ul>
 
Why This Role Is Compelling
<ul>
<li>You’ll build foundational AI systems at a moment where the company is scaling quickly</li>
<li>Your work will directly shape how customers interact with and benefit from AI</li>
<li>You’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinking</li>
<li>You’ll have room to experiment, influence architecture, and meaningfully impact technical direction</li>
<li>You’ll join early enough to feel the upside, but after core customer traction is already proven</li>
</ul>
 
What's On Offer
<ul>
<li>A high-ownership engineering role with scope to grow into senior or staff pathways</li>
<li>A culture that balances speed with thoughtful engineering</li>
<li>Mission-driven work with clear real-world utility</li>
<li>Competitive compensation, strong equity, and flexibility in how you build</li>
</ul>
 
If you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.

AI/ML Engineer - Build Core Intelligence for a New Class of Enterprise AI Products

<h3>Job Description</h3>
NO SPONSORSHIP - NO OPT
 
PRINCIPAL ARTIFICIAL INTELLGIENCE ENGINEER
 
SALARY: $200K - $220K PLUS 30% BONUS
 
LOCATION: CHICAGO
HYBRID 3 DAYS ONSITE
 
SELLING POINTS: AI Research and engineering team. You will need strong software engineering and tech leadership. You will help define and execute AI technical roadmap, incorporate LLM and AI into processes and infrastructure. Large language models (LLMs) 10 years software engineering system architecture. Expertise python proficient in SQL system design expertise monolithic and microservices architecture distributed systems event driven architecture data engineering data pipelines data transformation AWS Docker Kubernetes CICD infrastructure as a code terraform
 
Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure
Design and build production applications in support of organizational use cases
Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports)
Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards
Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment
Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment
Connect AI agents to organizational systems and workflows
Evaluate emerging technologies and recommend adoption strategies
Foster continuous learning culture in a rapidly evolving AI landscape
 
Qualifications:
 
Bachelor's or Master's in Computer Science or related technical field
10+ years software engineering/systems architecture experience with strong technical leadership
5+ years as senior technical contributor on complex production systems
Expert in Python and proficient in SQL
System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs
Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)
Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT)
Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy
Experience mentoring and reviewing the work of junior engineers
Exceptional communication skills explaining complex technical concepts
Strong interest in AI/LLM space with demonstrated commitment to continuous learning
 
Preferred
Production experience with AI applications or LLM-powered systems
Experience with RAG architectures and context engineering
Familiarity with diverse LLM provider APIs and experience connecting agents to systems
Experience tinkering with frontier lab tools and products
Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD
Infrastructure as code: Terraform
Experience in financial market infrastructure or derivatives industry
Background in regulated environments

Principal Artificial Intelligence Engineer (LLM)

<h3>Job Description</h3>
You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models into production environments.
 
Key Responsibilities
<ul>
<li>Design, develop, and deploy machine learning and AI models for production use</li>
<li>Build and maintain scalable data pipelines and model-serving infrastructure</li>
<li>Train, evaluate, and optimise models for performance, accuracy, and efficiency</li>
<li>Work with large datasets to extract insights and improve model outcomes</li>
<li>Collaborate with product and engineering teams to translate business needs into AI solutions</li>
<li>Monitor, test, and iterate on models in live environments</li>
<li>Ensure best practices around model performance, reliability, and security</li>
</ul>
 
Required Skills &amp; Experience
<ul>
<li>Strong experience in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn)</li>
<li>Solid understanding of machine learning fundamentals and algorithms</li>
<li>Experience deploying models to production environments (cloud or on-prem)</li>
<li>Familiarity with data processing tools and pipelines</li>
<li>Understanding of model evaluation, optimisation, and monitoring techniques</li>
</ul>
 
Nice to Have
<ul>
<li>Experience with large language models (LLMs) or generative AI</li>
<li>Knowledge of MLOps tools and workflows</li>
<li>Experience working with cloud platforms (AWS, GCP, Azure)</li>
<li>Background in applied research or experimentation</li>
</ul>

AI Engineer

<h3>Job Description</h3>
Lead Machine Learning Engineer – Generative AI for the Physical World
 
Overview
A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics.
 
Why Join?
This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform.
 
The Company
My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing.
 
The Role
As the Lead Machine Learning Engineer, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning.
 
The Essential Requirements
<ul>
<li>Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers.</li>
<li>Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR).</li>
<li>A strong track record of architecting and deploying complex ML systems from research to production.</li>
<li>Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs).</li>
<li>Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively.</li>
</ul>
 
What Will Make You Stand Out
<ul>
<li>A PhD in a relevant field such as Computer Science or Robotics.</li>
<li>A background in mechanical, aerospace, or a related engineering discipline.</li>
<li>Experience integrating perception models with LLMs or other agent-based systems.</li>
<li>A history of publications in top-tier machine learning conferences.</li>
</ul>
 
Benefits
<ul>
<li>Up to $260,000 base</li>
<li>Meaningful equity</li>
<li>A key leadership role with the autonomy to shape the company’s technical culture and direction.</li>
<li>The opportunity to solve high-impact problems at the intersection of AI and engineering.</li>
</ul>
 
If you are interested in this role, please apply with your resume through this site.
 
SEO Keywords for Search
Head of Machine Learning, Head of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry.
 
Disclaimer
Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Lead Machine Learning Engineer (Geometry/3D/Simulation)

<h3>Job Description</h3>
Senior Azure Engineer | 464294 DETAILS Location: 100% Remote Position Type: 6M C2H Hourly / Salary: to $170K JOB SUMMARY Vaco Technology is currently seeking a Senior Azure Engineer for a 6M C2H opportunity that is 100% remote. The Senior Azure Engineer will lead the design, implementation, and operations of secure, scalable cloud solutions on Azure. The Senior Azure Engineer will architect and build cloud infrastructure and platform services, modernize legacy workloads, and drive best practices for security, reliability, cost optimization, and automated delivery. The Senior Azure Engineer will work closely with product, security, enterprise architecture, and development teams to enable high-quality cloud services across the organization.
<ul>
<li>Cloud Architecture / Delivery - Lead the Design / Delivery of Azure-Based Solutions Spanning Infrastructure / Networking / Security / Platform Services</li>
<li>Azure Environment Design - Architect and Implement Cloud Environments Using Best Practices for Identity / Networking / Governance / Resiliency</li>
<li>Infrastructure as Code (IaC) - Build and Maintain Repeatable Cloud Infrastructure Using Bicep / Terraform / ARM Templates</li>
<li>CI/CD / Automation - Implement and Optimize CI/CD Pipelines for Cloud and Application Deployments Using Azure DevOps / GitHub Actions</li>
<li>Azure Networking - Design and Manage VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN / ExpressRoute / Load Balancers / Application Gateway / WAF</li>
<li>Security / Governance - Lead Security-First Implementations Leveraging Entra ID / RBAC / PIM / Key Vault / Managed Identities / MDC (Defender for Cloud) / Sentinel / Azure Policy</li>
<li>Cloud Migration / Modernization - Support Rehost / Refactor / Re-Architect Initiatives Including Landing Zones / Subscription Design / Workload Onboarding</li>
<li>Operations / Optimization - Monitor / Troubleshoot / Improve Production Environments for Performance / Availability / Cost Efficiency</li>
<li>Standards / Reusability - Establish Reference Architectures / Standards / Reusable Modules to Accelerate Consistent Delivery</li>
<li>Leadership / Mentorship - Mentor Engineers / Provide Technical Guidance / Conduct Peer Architecture and Code Reviews</li>
<li>Documentation - Create and Maintain Technical Documentation / Runbooks / Architecture Diagrams</li>
</ul>
 About the Project: Our client (MSP) has just won a flagship, enterprise-wide support contract with a Fortune 200 client that has fully replaced its direct Microsoft support with their services. To deliver immediate white-glove support, they are building a dedicated 6-person Microsoft Engineering Team, including 2 D365 F&amp;O Administrators, 2 Modern Workplace / M365 Generalists, 1 Power Platform Engineer, and 1 Azure Engineer. These are all is a high-visibility roles that demands strong technical depth, exceptional customer-facing communication, composure under pressure, and the ability to multitask across high-volume tickets. JOB REQUIREMENTS
<ul>
<li>Senior Azure Cloud Engineer (6+ years) - Cloud / Infrastructure / Platform Engineering (hands-on) in a Production Environment</li>
<li>Azure Compute Services (deep knowledge) - VMs / VMSS / App Service / AKS, etc.</li>
<li>Azure Storage Services (strong understanding) - Blob / Files / Disk / Lifecycle Policies</li>
<li>Azure Networking (advanced) - VNets / Subnets / NSGs / UDRs / Private Endpoints / Private Link / VPN Gateway / Azure Load Balancers / Application Gateway / WAD, etc.</li>
<li>Azure Integration (advanced) - Functions / Logic Apps / API Management</li>
<li>IAM (Identity / Access Management) - Entra ID / Azure AD / RBAC / PIM</li>
<li>IaC (Infrastructure-as-Code) - Bicep / Terraform, etc.</li>
<li>CI/CD Pipelines - Implementing CI/CD / Automated Release Patterns</li>
<li>Observability Tools - Azure Monitor / Log Analytics / Application Insights</li>
<li>Resiliency (familiarity) - High Availability / Disaster Recovery Design</li>
<li>Incident Management - Troubleshooting (advanced) / Leading Incident Resolution / Root-Cause Analysis</li>
</ul>
 PREFERRED (not required)
<ul>
<li>Certifications: AZ-104 / AZ-305 / AZ-400 / SC-100 / SC-200</li>
<li>FinOps / Cost Governance | Chargeback / Showback Models, etc.</li>
<li>AKS / Container Platforms</li>
<li>Data Services - Azure SQL / CosmosDB</li>
<li>Azure Landing Zone Implementations - Designing / Operationalizing a Foundational / Multi-Subscription Environment Supporting Enterprise-Level Cloud Adoption at Scale</li>
<li>Zero Trust / Regulated Environments </li>
</ul>
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Senior Azure Engineer (464294)

<h3>Job Description</h3>
Senior Platform Engineer – AWS/Python/Terraform
<ul>
<li>Global Brokerage</li>
</ul>
 
Location: Chicago
Salary: $130,000 - $150,000 + benefits + bonus (20 - 50%)
Hybrid: In office 3 days per week
 
Company Overview
Join a leading global brokerage in the heart of Chicago and drive innovation. The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment.
 
What's In It For You
<ul>
<li>Global Brokerage: Join a dynamic team at a top brokerage.</li>
<li>Continuous Learning: Access paid training for professional growth.</li>
<li>Work-Life Balance: Flexible work arrangements, with 3 days in the central Chicago office.</li>
<li>Collaboration: Work closely with development teams on monitoring metrics and CI/CD pipeline development.</li>
<li>Comprehensive benefits package offering employer‑provided insurance (life/AD&amp;D, disability, EAP), health &amp; dental coverage, flexible accounts (HSA/FSA), generous time off (vacation, unlimited sick leave, parental leave), plus retirement plan with a company match - all designed to support employees’ wellness, financial security, and work-life balance.</li>
<li>Exciting Projects: Engage in complex, challenging projects.</li>
</ul>
 
Role Responsibilities
<ul>
<li>System Management: Monitor and manage AWS-focused systems and infrastructure.</li>
<li>Platform Operations: Build and maintain a platform for cloud and on-premise application provisioning and operation.</li>
<li>Configuration and Maintenance: Install, configure, test, and maintain operating systems, software, and infrastructure tools.</li>
<li>CI/CD Development: Develop a continuous integration and deployment platform integrated with development tools.</li>
<li>Developer Experience: Enhance developer experience in cloud infrastructure and application deployment.</li>
<li>Policy and Guidelines: Develop policies, standards, and guidelines for Infrastructure as Code (IAC) and CI/CD processes.</li>
<li>Automation: Implement workflow and toolchain improvements for task automation.</li>
</ul>
 
Required Skills and Experience
<ul>
<li>Experience: Minimum 5 years in a professional Platform Engineering role.</li>
<li>Cloud Proficiency: Securely deploy and manage AWS applications, with cloud-native tooling and security best practices.</li>
<li>Scripting Skills: Proficiency in Python.</li>
<li>Docker Proficiency: Experience with Docker containerisation for software deployment and scalability.</li>
<li>CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies.</li>
<li>Terraform Exposure: Beneficial experience with Terraform.</li>
<li>Observability Tools: Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation.</li>
</ul>
 
Learn More
For more information, contact George Harris at Harrington Starr for a confidential conversation, or click "Apply" to start your application.

Senior Platform Engineer

<h3>Job Description</h3>
&amp;#x1F30E; San Francisco (Hybrid)
&amp;#x1F4BC; Founding/Staff Data Engineer
&amp;#x1F4B5; $200-300k base
 
Our client is an elite applied AI research and product lab building AI-native systems for finance—and pushing frontier models into real production environments. Their work sits at the intersection of data, research, and high-stakes financial decision-making.
 
As the Founding Data Engineer, you will own the data platform that powers everything: models, experiments, and user-facing products relied on by demanding financial customers. You’ll make foundational architectural decisions, work directly with researchers and product engineers, and help define how data is built, trusted, and scaled from day one.
 
What you’ll do:
<ul>
<li>Design and build the core data platform, ingesting, transforming, and serving large-scale financial and alternative datasets.</li>
<li>Partner closely with researchers and ML engineers to ship production-grade data and feature pipelines that power cutting-edge models.</li>
<li>Establish data quality, observability, lineage, and reproducibility across both experimentation and production workloads.</li>
<li>Deploy and operate data services using Docker and Kubernetes in a modern cloud environment (AWS, GCP, or Azure).</li>
<li>Make foundational choices on tooling, architecture, and best practices that will define how data works across the company.</li>
<li>Continuously simplify and evolve systems—rewriting pipelines or infrastructure when it’s the right long-term decision.</li>
</ul>
 
Ideal candidate:
<ul>
<li>Have owned or built high-performance data systems end-to-end, directly supporting production applications and ML models.</li>
<li>Are strongest in backend and data infrastructure, with enough frontend literacy to integrate cleanly with web products when needed.</li>
<li>Can design and evolve backend services and pipelines (Node.js or Python) to support new product features and research workflows.</li>
<li>Are an expert in at least one statically typed language, with a strong bias toward type safety, correctness, and maintainable systems.</li>
<li>Have deployed data workloads and services using Docker and Kubernetes on a major cloud provider.</li>
<li>Are comfortable making hard calls—simplifying, refactoring, or rebuilding legacy pipelines when quality and scalability demand it.</li>
<li>Use AI tools to accelerate your work, but rigorously review and validate AI-generated code, insisting on sound system design.</li>
<li>Thrive in a high-bar, high-ownership environment with other exceptional engineers.</li>
<li>Love deep technical problems in data infrastructure, distributed systems, and performance.</li>
</ul>
 
Nice to have:
<ul>
<li>Experience working with financial data (market, risk, portfolio, transactional, or alternative datasets).</li>
<li>Familiarity with ML infrastructure, such as feature stores, experiment tracking, or model serving systems.</li>
<li>Background in a high-growth startup or a foundational infrastructure role.</li>
</ul>
 
Compensation &amp; setup:
<ul>
<li>Competitive salary and founder-level equity</li>
<li>Hybrid role based in San Francisco, with close collaboration and significant ownership</li>
<li>Small, elite team building core infrastructure with outsized impact</li>
</ul>

Staff Data Engineer

<h3>Job Description</h3>
Dürr CTS (Clean Technology Systems) develops advanced environmental technologies to make industrial production cleaner, safer, and more efficient. Across all our product lines, Dürr CTS offers responsive, local, and skilled service teams, delivering customer-focused support in maintenance, troubleshooting, spare parts, and plant modifications.
 
Since November 1st, 2025, Dürr CTS has operated independently, with 1,300 employees across 12 countries. We provide reliable and innovative environmental technology solutions, helping customers worldwide meet their regulatory and sustainability goals.
 
Our Portfolio Includes: 
<ul>
<li>Air Pollution Control: thermal oxidation, sorptive processes, particulate matter separation</li>
<li>Noise Abatement: Silencer products, filtration, gas turbine inlet and exhaust systems by Dürr Universal</li>
<li>Decentral Power Generation: Organic Rankine Cycle systems with Cyplan® ORC</li>
</ul>
 
We serve a wide range of industries, including chemical, pharmaceutical, food, automotive, energy, surface coating, and many more, providing tailored solutions that help customers meet environmental regulations, reduce emissions, ensure operational reliability, and improve sustainability.
 
We're Looking for People Who:
<ul>
<li>Can be the face of our company to our customers</li>
<li>Love to travel and experience new work environments</li>
<li>Enjoy navigating challenges that require you to think on your feet</li>
<li>Have a high mechanical aptitude</li>
<li>Crave personal development and improvement</li>
</ul>
 
What We Do:
<ul>
<li>Durr Universal provides noise and environmental solutions to our customers. For more than 65 years, we have supported our customers through our design, manufacturing, and installation of acoustic and emissions systems. We work to continually improve our knowledge of our equipment, our customers' processes, and how the two interact.</li>
</ul>
 
Why We're in Business:
<ul>
<li>Durr Universal provides value-added solutions to our customers. We pride ourselves on the thoroughness of our pre-sale consultation and solution development, the quality and longevity of our equipment, and our best-in-class service from initial customer inquiry through the life of the equipment.</li>
<li>We seek long-term partnerships with customers that value our approach.</li>
</ul>
 
This position will oversee all activities of both Durr Universal internal and Field Service contractors and report on the performance of the department functions with appropriate personnel in the company. This position will require working with the Field Service Technicians, Project Managers, Sales, Engineering, 3rd party Contractors, and site customers to ensure overall contract requirements are successfully met for field service work, warranty repair, quality inspection, and technical supervision. This position requires travel from 70% to 90% to various potential customer sites to assist in quoting, supervision, auditing, inspection, etc. of dedicated Field Service Teams, along with assisting and overseeing field service project work scopes and related scopes. The Field Service Supervisor/TFA must plan, organize, direct, and manage the work of individual field service technicians and contractors in various field operations.
 
Essential Functions:
<ul>
<li>Put safety first in everything you do and help ensure our colleagues, customers, and business partners remain safe at all times.</li>
<li>Be the liaison between the customer, contractor, and Dürr staff</li>
<li>Assist in the installation of Dürr and other equipment</li>
<li>Manage all 3rd party subcontractors, ensure work is done safely, properly, and on time and in budget.</li>
<li>Work with site personnel and internal personnel on project issues and resolve them effectively.</li>
<li>Develop cost estimates and customer proposals for field installation projects.</li>
<li>Creation and deployment of mobilization schedules for the field service department.</li>
<li>Assist in equipment commissioning and documentation as required</li>
<li>Participate in contract reviews and kick-off meetings involving the field service scope of work.</li>
<li>Assist with parts procurement as needed</li>
<li>When required provide customer training on installed equipment</li>
<li>Provide equipment modular build support as required</li>
</ul>
 
Experience and Skills:
<ul>
<li>Must make safety a priority every day</li>
<li>AWS Certified Welding Inspector (CWI) is a plus</li>
<li>Painting and coatings certification/ experience is a plus</li>
<li>OSHA 10 or 30 Hour Safety Trained</li>
<li>Familiar with MS Word, Excel, and PowerPoint</li>
<li>Desire to travel</li>
<li>Ability to read and interpret engineering drawings and technical documents (i.e. layout, sectional drawings)</li>
<li>Excellent written and verbal communication skills</li>
<li>Desire to work hands-on in an industrial environment</li>
<li>Proven mechanical aptitude – including the use of various machining tools, welding equipment and methods, and various testing equipment</li>
<li>Demonstrated experience with installation and inspection of large steel structures (ducting and tall stacks, steel platforms) and their welding processes, inspection of welds, and industrial coatings</li>
<li>Working experience with safe lifting &amp; rigging methods</li>
<li>Fully capable with Microsoft Office software package</li>
<li>Flexible to adapt to same-day and next-day changes</li>
<li>Ideal candidate will have experience developing RFQ/RFPs for work that would be subcontracted to 3rd party vendors.</li>
<li>Experience with steel fabrication and custom equipment manufacturing.</li>
<li>Position can be located anywhere near a major airport</li>
</ul>
 
Dürr CTS, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We maintain a drug-free workplace and perform pre-employment drug and alcohol testing.
 
Note to all Staffing Agencies: Dürr CTS, Inc. has a team of dedicated Human Resources professionals who are responsible for all hiring needs. Our practice is to partner and work with our approved vendors on an as-needed basis. We do not accept resumes from agencies that are not on our preferred vendor list and have not signed our Recruiting and Permanent Placement Contract. Any resumes submitted from unapproved vendors will be considered unsolicited, and Dürr will not be obligated to pay a referral fee.

Field Service Technician- Durr Universal- Remote

<h3>Job Description</h3>
Research &amp; Development Engineer (IoT)
$130-150k base salary
Davis, CA
 
We’re partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&amp;D Engineer to join their team in Davis, CA.
 
The R&amp;D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally.
 
Key skills &amp; experience:
<ul>
<li>Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&amp;D environment</li>
<li>This is a hands-on role that will be focused ‘tinkering’ with a lot of new products/ideas – would be good to have experience with RF, GPS, Vision (Cameras, Optics &amp; Lighting), and systems integration</li>
<li>Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques</li>
<li>Looking for someone with good CAD experience</li>
<li>Looking for someone with a broad/generalist background who has experience across the entire product development process – open to applicants from a Solar, Construction, or Industrial background</li>
</ul>
 
This role will be working onsite in Davis, CA.
 
Interested? Apply now or send a copy of your resume to <a href="mailto:m.wright@lawrenceharvey.com" target="_blank">m.wright@lawrenceharvey.com</a>

Research & Development Engineer (IoT)

<h3>Job Description</h3>
Machine Learning / AI Engineer
Vaco is partnering with a growing organization near Monroe, Ohio to hire a Machine Learning / AI Engineer for a direct-hire, hybrid role.
 
This position offers the opportunity to work on impactful, real-world AI solutions within a logistics-focused environment, collaborating closely with cross-functional teams to drive efficiency and innovation. 
 
What You'll Do: 
<ul>
<li>Design, train, and deploy machine learning models supporting demand forecasting, routing optimization, and network efficiency</li>
<li>Integrate AI and ML solutions with existing logistics platforms, sensors, and data pipelines</li>
<li>Partner with cross-functional teams to translate business challenges into scalable, production-ready solutions</li>
<li>Build and maintain data processing, feature engineering, and model evaluation pipelines using modern ML frameworks</li>
<li>Monitor model performance, retrain systems, and drive continuous improvement through feedback loops</li>
<li>Ensure AI systems adhere to enterprise standards for security, scalability, and data governance</li>
<li>Stay current on advancements in machine learning, optimization algorithms, and generative AI relevant to logistics and operations</li>
</ul>
 
Required Skills: 
<ul>
<li>Bachelor's degree in Computer Science, Software Engineering, IT, or equivalent practical experience</li>
<li>5+ years of experience in ML/AI-focused roles with strong foundations in statistical learning</li>
<li>Deep expertise in Generative AI, NLP, and simulation techniques applied to operational or logistics challenges</li>
<li>Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li>
<li>Experience with data engineering tools and platforms such as SQL, Spark, Databricks, and Airflow</li>
<li>Familiarity with cloud environments (AWS or Azure) and MLOps practices for model deployment and monitoring</li>
<li>Strong ability to analyze large, complex datasets to uncover actionable insights and automation opportunities</li>
<li>Proven problem-solving skills with an emphasis on scalability and real-world application</li>
<li>Excellent communication and collaboration skills</li>
</ul>
 
About The Role: 
<ul>
<li>Direct-hire opportunity with a stable, forward-thinking organization</li>
<li>Hybrid work environment offering flexibility</li>
<li>High-impact role focused on applied AI and operational optimization</li>
</ul>
 
Desired Skills and Experience: 
AI, ML, Machine Learning, Artificial Intelligence, AI/ML, Natural language processing, NLP, Python, AWS, Cloud, Azure, Amazon Web Services, SQL, Spark, Databricks, Airflow, MLOps, TensorFlow, PyTorch, Scikit-learn, Generative AI, Data, AI/ML Engineer, AI Engineer, ML Engineer

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