<h3>Job Description</h3>
Position Location: Manassas, VA&nbsp;
 
Pay Rate: $22–$25 per hour (based on experience)&nbsp;
Schedule: Full-time, Monday–Friday (40 hours&nbsp;per week)&nbsp;
 
Position Summary&nbsp;
The Assistant Engineer supports the operation, inspection, and maintenance of mechanical, electrical, and plumbing systems in a commercial facility. This hands-on role&nbsp;assists&nbsp;the Chief Engineer and maintenance team with routine and preventive maintenance, repairs, and facility upkeep to ensure a safe and efficient working environment.&nbsp;
 
Key Responsibilities&nbsp;
<ul>
<li>Assist&nbsp;with operation, inspection, and maintenance of HVAC, electrical, and plumbing systems.&nbsp;</li>
<li>Support the Chief Engineer in maintenance and repair tasks.&nbsp;</li>
<li>Perform general building upkeep, safety checks, and repairs as directed.&nbsp;</li>
<li>Follow all safety procedures and&nbsp;maintain&nbsp;clean, organized work areas.&nbsp;</li>
<li>Comply with&nbsp;OSHA standards and company Standard Operating Procedures.&nbsp;</li>
<li>Report facility issues promptly and&nbsp;assist&nbsp;in troubleshooting.&nbsp;</li>
</ul>
 
Qualifications&nbsp;
<ul>
<li>High school diploma or GED&nbsp;required.&nbsp;</li>
<li>1–2 years of experience in maintenance, facilities support, or building operations&nbsp;required.&nbsp;</li>
<li>Must be able to pass a background check. The background check will take 1-2&nbsp;weeks to complete.&nbsp;If&nbsp;passed,&nbsp;the selected candidate will receive pay for the processing time from when the&nbsp;candidate&nbsp;completes the paperwork to their 1st&nbsp;day of&nbsp;work.&nbsp;</li>
<li>Permanent Resident or US Citizen&nbsp;required.&nbsp;</li>
<li>Basic knowledge of hand tools, safety standards, and maintenance practices.&nbsp;</li>
<li>Certification in one or more of the following areas is&nbsp;required: HVAC, Electrical, Plumbing.&nbsp;</li>
<li>Must be fluent in English; Bilingual in Spanish a plus.&nbsp;</li>
</ul>
 
Skills &amp; Competencies&nbsp;
<ul>
<li>Strong attention to detail and reliability.&nbsp;</li>
<li>Ability to follow directions and safety protocols.&nbsp;</li>
<li>Good communication&nbsp;and teamwork skills.&nbsp;</li>
<li>Willingness to learn and support multiple maintenance functions.&nbsp;</li>
</ul>
 
Compensation &amp; Benefits&nbsp;
<ul>
<li>Hourly Rate: $22–$25 (based on experience)&nbsp;</li>
<li>Hours:&nbsp;40 hours&nbsp;per week, Monday–Friday&nbsp;</li>
<li>Health, Vision, and Dental Insurance after&nbsp;90 days&nbsp;</li>
<li>Paid Holidays and Sick Days after&nbsp;90 days&nbsp;</li>
<li>Vacation after 1 year of employment&nbsp;</li>
<li>401(k) Eligibility after 1 year and&nbsp;1,000 hours&nbsp;</li>
<li>Additional Benefits: Working Advantage Discount Program through PayChex Flex and FinFit Financial Wellness Program through PayChex Flex.&nbsp;</li>
</ul>
 
How to Apply&nbsp;
Join us for Open Interviews on Friday, January 9th from 11 AM – 2 PM at:&nbsp;
Evergreen Solutions 4U&nbsp;
22560 Glenn Drive, Suite 115&nbsp;
Sterling, VA 20164&nbsp;
Bring a copy of your résumé and be prepared to discuss your experience.&nbsp;
 
Evergreen Solutions is an Equal Opportunity Employer

Assistant Maintenance Engineer

<h3>Job Description</h3>
Job Description
HURRY! $500 SIGN-ON BONUS* $$$ for all new hires! An additional bonus for one year of service!
Founded in 2015, Hillis-Carnes Capitol Services, PLLC (HCCS) is a top-tier, multi-disciplined, employee-owned, engineering firm with a demonstrated history of success! We're looking for motivated candidates to fill the roles of Entry-level or Senior-level Engineering Technician in our office located in Washington, DC. Competitive starting pay based on prior experience, overtime work available, and $500 signing bonus! These are great starting roles in the engineering and construction industries!
Responsibilities:
<ul>
<li>Perform field observations and testing of construction materials including soil, concrete, asphalt, masonry, reinforcing steel, and sprayed-on fireproofing.</li>
<li>Report observations and findings to project team verbally and/or in writing.</li>
<li>Interacting with senior staff members on a variety of projects, as needed.</li>
<li>Promoting a safe workplace and proper use of PPE.</li>
<li>Successfully complete necessary certifications (company-paid) to perform testing and inspection tasks.
<ul>
<li>Pay raises will be provided for successful completion of certifications!</li>
</ul>
</li>
</ul>
Qualifications:
<ul>
<li>High School degree or GED equivalent (Associate's or Bachelor's degree in Engineering or Geology a plus)</li>
<li>Valid (ACI, AWS, ICC, NICET, NRCA, etc.) certifications are a plus and will result in higher starting pay!</li>
<li>Ability to meet pre-employment criteria, including motor vehicle record.</li>
<li>Provide suitable personal car for use on job sites. Mileage will be reimbursed.</li>
<li>Possess good oral and written communication skills.</li>
<li>Ability to perform basic mathematic computations.</li>
<li>Interest in working outdoors on construction sites.</li>
<li>Ability to lift and/or move up to 60-80 pounds. </li>
</ul>
Compensation and Benefits:
<ul>
<li>$500 signing bonus!</li>
<li>Competitive starting pay based on prior experience.</li>
<li>Overtime work available.</li>
<li>Company stock as an employee owner!</li>
<li>100% Employer-Paid Benefits, that include including Long-Term Disability, Basic Life &amp; Employee Assistance Program).</li>
<li>Healthcare and dental insurance (w/ Health Savings Account Option)</li>
<li>Disability insurance</li>
<li>401k with Company Match.</li>
<li>Tuition reimbursement.</li>
<li>Generous compensation for Employee-Referrals.</li>
</ul>
Check out our website to learn more about us at <a href="http://www.hilliscarnesdc.com" target="_blank">www.hilliscarnesdc.com</a>!
 Minorities and Woman are encouraged to apply.
EOE
*$250 sign-on bonus paid after successfully completing 90 days*; $250 paid after one year of service.
 Job Posted by ApplicantPro

Engineering Technician

<h3>Job Description</h3>
Job Description
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
What Youll Do
<ul>
<li>Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.</li>
<li>Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.</li>
<li>Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).</li>
<li>Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).</li>
<li>Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.</li>
<li>Collaborate with researchers to productionize models and accelerate training/inference pipelines.</li>
<li>Establish ML Ops best practices, internal standards, and cross-team tooling.</li>
<li>Mentor engineers and influence architectural direction across the entire AI platform.</li>
</ul>
What Were Looking For
<ul>
<li>Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).</li>
<li>Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).</li>
<li>Proficiency with Python and familiarity with TypeScript or Go for platform integration.</li>
<li>Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)</li>
<li>Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).</li>
<li>Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.</li>
<li>Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments</li>
</ul>
Bonus Points
<ul>
<li>Experience deploying and operating LLMs and generative models in production at enterprise scale.</li>
<li>Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.</li>
<li>Experience optimizing GPU clusters, scheduling, and distributed training frameworks.</li>
<li>Prior startup experience or comfort operating with ambiguity and high ownership.</li>
<li>Experience working with data engineering, feature pipelines, or real-time ML systems.</li>
</ul>
Why This Role Will Pivot Your Career 
<ul>
<li>Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.</li>
<li>Customer impact: Deploy AI solutions powering Fortune 500 clients.</li>
<li>Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).</li>
<li>Funding &amp; growth: Oversubscribed seed round, next funding in 2026.</li>
<li>Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.</li>
<li>Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.</li>
<li>Aspirational impact: Solve AI performance challenges few engineers ever face.</li>
</ul>
Benefits 
<ul>
<li>Competitive salary &amp; equity options</li>
<li>Sign-on bonus</li>
<li>Health, Dental, and Vision</li>
<li>401k</li>
</ul>
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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 are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Staff / Principal ML Ops Engineer

<h3>Job Description</h3>
Job DescriptionJob Title: General Manager &amp; Principal EngineerLocation: Amherst, NYHire Type: Direct HirePay Range: $175,000 - $225,000 Work Type: Full-timeWork Model: OnsiteWork Schedule: Monday – Friday, 8am – 5pm (flexible) Nature &amp; Scope:Positional OverviewThe Imagine Group is recruiting for a General Manager &amp; Principal Engineer on behalf of our client, a leading national provider of business and technology solutions, specializing in engineering, IT and healthcare services in Buffalo, NY.In this role, you will be responsible for the overall strategic direction, operational management and financial performance of a particular division of the company. This includes overseeing delivery, managing client relationships, driving business development, and supervision of engineering staff. The General Manager ensures projects are completed on time, within budget and to the highest quality standards while also fostering a culture of innovation, safety and continuous improvement. Role &amp; Responsibility:Tasks That Will Lead To Your Success
<ul>
<li>Develop and execute transformation strategy: Create and implement a comprehensive plan to transition the firm from a primary focus on process engineering to offering a full range of engineering services, including mechanical, electrical, instrumentation, civil/structural, and project management capabilities.</li>
<li>Identify new service opportunities within existing core business and clients.</li>
<li>Promote engineering services for local and regional industrial and chemical sectors.</li>
<li>Strategic hiring and upskilling: Identify staffing and skill gaps necessary for the transition and develop a strategy to address them. This will involve coordinating with other engineering offices and recruiting experienced engineers from various disciplines and creating professional development programs to cross-train existing staff and build the firm's new capabilities.</li>
<li>Create and implement change management: Communicate the strategic vision and manage the organizational changes required for the transformation. Build a culture that embraces new challenges and fosters collaboration across different engineering disciplines.</li>
<li>Manage operational change: Establish the new internal processes, workflows, and procedures required for a full-service firm, such as integrating multi-disciplinary teams on projects and managing a broader scope of services. </li>
<li>Business Development &amp; Client Relations
<ul>
<li>Represent the firm's new capabilities:Act as the external face of the company. Represent its expanded capabilities to clients, industry groups, and at conferences to generate interest and new business. </li>
<li>Manage strategic partnerships:Identify and secure partnerships with other firms or contractors to augment capabilities during the transition phase, ensuring the firm can deliver on its new "full-service" promises. </li>
</ul>
</li>
</ul>
<ul>
<li>Marketing and Sales:With sales staff direct identification of new market opportunities, grow the client base, and expand the firm's service offerings.</li>
</ul>
<ul>
<li>Trade Events and Outreach:With key engineering staff and sales team represent the firm in professional organizations, with clients, and at industry events to build and maintain positive relationships.</li>
</ul>
Operational &amp; Financial Leadership
<ul>
<li>Strategic Planning:Develop and execute short-term and long-term strategic business plans to achieve company goals for growth, revenue, and profitability.</li>
<li>Budget and Financial Management:In coordination with the CFO and his team prepare and oversee departmental budgets, manage financial forecasting, and review profit and loss reports.</li>
<li>Project Contracting:Supervise and assist as needed Projects Managers and the Proposal Manager to manage contracts, prepare proposals and bids, and negotiate agreements with clients and partners. </li>
</ul>
Team Leadership &amp; People Development
<ul>
<li>Provide mentorship, coaching, and professional development opportunities to team members to foster growth and improve performance.</li>
<li>Conduct performance reviews, set clear goals, manage resource allocation to maximize team efficiency, and promote professional development and cross-training to build a versatile engineering team.</li>
<li>Recruit, mentor, and cultivate a positive and collaborative work environment that encourages teamwork, high morale, and technical excellence. </li>
</ul>
 Technical &amp; Quality Oversight
<ul>
<li>Maintain a deep understanding of the firm's technical services and industry trends to guide strategic decisions and drive innovation. </li>
<li>Direct and review engineering designs and changes, ensuring technical accuracy and soundness of methods used by staff. </li>
<li>Oversee quality assurance and quality control (QA/QC) processes for all project deliverables, ensuring the team's work complies with all relevant industry standards, regulations, and safety codes. </li>
</ul>
Skills &amp; ExperienceQualifications That Will Help You Thrive
<ul>
<li>Bachelor's degree in an engineering discipline (e.g., Civil, Mechanical, Electrical, or related). Master’s degree in engineering management or an MBA is preferred.</li>
<li>Minimum 15+ years of progressive experience in an engineering field, including 5-7 years in managerial or leadership roles with P&amp;L responsibility.</li>
<li>Professional Engineering (P.E.) license is required, in addition to proven experience in managing engineering operations, project delivery, and resource allocation.</li>
<li>Demonstrated success in business unit leadership, client development, and organizational transformation.</li>
<li>Expert-level technical knowledge relevant to the firm's specific engineering services.</li>
<li>Proficiency with industry-standard software, such as computer-aided design (CAD) programs, project management software (e.g., MS Project).</li>
<li>Strong analytical skills for evaluating technical information and complex problems. </li>
</ul>

General Manager & Principal Engineer

<h3>Job Description</h3>
Job Description
This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
Who We Are:
Raft (<a href="https://teamraft.com" target="_blank">https://teamraft.com</a>) is a leading defense technology company dedicated to empowering the U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, equipping the Department of Defense and national security organizations with solutions to drive mission success from the tactical edge to headquarters. Trusted by over 25 federal agencies, we enhance legacy systems and accelerate modernization with our advanced data platforms and AI capabilities. With headquarters in McLean, VA, we build digital solutions that impact the lives of millions of Americans.
We're looking for an experienced Principal Machine Learning Engineer to support our customers and join our passionate team of high-impact problem solvers. You will work cross-functionally to help design, plan, implement, and guide enterprise AI/ML strategies. In this role, you will be a technical advisor who will help lead and direct the execution of advanced machine learning solutions by combining expertise and business insights.
About the Role:
We are seeking a machine learning expert who can help us extract valuable insights from customer data and operationalize AI at scale. As the lead, you will oversee all aspects of the ML lifecycle, including data collection, cleaning, pre-processing, model training, and production deployment. You are well-versed in MLOps and understand how to build trustworthy, mission-critical AI systems.
We are looking for a candidate who is passionate about artificial intelligence and stays current with the latest advancements in the field. Initially, this role will require the candidate to work independently with customers, assisting them in developing new business opportunities until a suitable long-term project for growth is identified.
What We Are Looking For:
<ul>
<li>Demonstrated ability to introduce new technology into organizations to further their ability to drive value from data using AI/ML</li>
<li>Experience building agentic workflows with tool calling, Model Context Protocol (MCP) implementations, and multi-step reasoning systems</li>
<li>Deep understanding of transformer architectures and common frameworks like vLLM, Pytorch, Tensorflow</li>
<li>Design, develop, and research Machine Learning systems, models, and schemes</li>
<li>Study, transform, and convert data science prototypes into production-ready systems</li>
<li>Search and select appropriate data sets before performing data collection and data modeling</li>
<li>Perform statistical analysis and use results to improve models</li>
<li>Train and retrain ML systems and models as needed</li>
<li>Identify differences in data distribution that could affect model performance in real-world situations</li>
<li>Visualize data for deeper insights</li>
<li>Analyze use cases of ML algorithms and rank them by success probability</li>
<li>Understand when findings can be applied to business decisions</li>
<li>Enrich existing ML frameworks and libraries</li>
<li>Experience deploying ML services in secure environments with constrained resources</li>
<li>Verify data quality and ensure it via data cleaning</li>
</ul>
Highly Preferred:
<ul>
<li>Experience with edge AI and autonomous data fusion systems</li>
<li>Familiarity with defense and national security applications</li>
<li>Experience with browser-based geospatial visualization libraries (e.g., Leaflet, OpenLayers, Mapbox).</li>
</ul>
Clearance Requirements:
<ul>
<li>Ability to obtain and maintain a Top Secret Security Clearance</li>
</ul>
Work Location:
<ul>
<li>Remote (candidates based in DMV/NCR, Tampa, FL, or Hanscom AFB, MA strongly preferred)</li>
<li>Up to 35% travel</li>
</ul>
What we will offer you: 
<ul>
<li>Highly competitive salary</li>
<li>Fully covered healthcare, dental, and vision coverage</li>
<li>401(k) and company match</li>
<li>Take as you need PTO + 11 paid holidays</li>
<li>Education &amp; training benefits</li>
<li>Annual budget for your tech needs</li>
<li>Generous Referral Bonuses</li>
<li>And More!</li>
</ul>
Our Vision Statement: 
We bridge the gap between humans and data through radical transparency and our obsession with the mission. 
Our Customer Obsession:
We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.
How do we get there?
Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 
Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Principal Machine Learning (ML) Engineer

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Principal Machine Learning Engineer to join our core machine learning platform engineering team. In this role, you will partner closely with the AI/MLE leadership team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine® and other AI/ML products powering the Xometry marketplace.
This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. 
Responsibilities:
<ul>
<li>Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.</li>
<li>Teaching &amp; Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.</li>
<li>Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.</li>
<li>Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.</li>
<li>Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.</li>
<li>Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.</li>
</ul>
Qualifications:
<ul>
<li>At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role.</li>
<li>A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience.</li>
<li>Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security.</li>
<li>Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc.</li>
<li>Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following:</li>
<ul>
<li>Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration.</li>
<li>Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation</li>
<ul>
<li>Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow) </li>
</ul>
<li>Infrastructure as Code (IaC), especially Terraform</li>
<li>REST API design and implementation</li>
<li>Object oriented and functional programming in Python</li>
<li>Multimodal data processing (e.g., combining text, image, and 3D data).</li>
<li>Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis</li>
<li>Containerization technologies (Docker and Kubernetes)</li>
</ul>
<li>Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors</li>
<li>Experience in the manufacturing, supply chain, or similar industries is a plus.</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
</ul>
The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Principal ML Engineer, ML Platform Engineering

<h3>Job Description</h3>
Job Description
This role supports a North American power company advancing high-voltage electrical infrastructure and grid reliability to enable a more resilient, secure energy transition.
 
As a&nbsp;Commissioning Engineer, you will lead on-site high-voltage and partial-discharge testing of GIS systems to ensure safe, compliant, and fully operational installation. You’ll execute commissioning of specialty switching and monitoring devices (including synchronization and sensor-enabled equipment), own schedule progress reporting, troubleshoot technical issues during live test cycles, and train contractors and customers for long-term operational readiness.
 
 
Key Technical Responsibilities:
<ul>
<li>Execute GIS system and component commissioning in line with released testing procedures and commissioning programs</li>
<li>Conduct high-voltage testing, and where required, complete system PD measurement on fully installed GIS</li>
<li>Track progress against commissioning schedules with consistent reporting to internal teams and site stakeholders</li>
<li>Troubleshoot and resolve technical issues that arise during live commissioning test phases</li>
<li>Maintain as-built documentation and generate accurate job site system records</li>
<li>Support the creation of final commissioning documentation packages</li>
<li>Train and guide junior or subordinate commissioning personnel through testing standards and field processes</li>
</ul>
 
Requirements:
<ul>
<li>Minimum of 2 years of technical commissioning experience in power grid or related high-voltage electrical systems</li>
<li>Field familiarity with partial discharge measurement tools and techniques</li>
<li>Bachelor’s degree in electrical engineering, power systems, or equivalent technical field</li>
<li>Working knowledge of GIS system construction and high-voltage electrical infrastructure</li>
<li>Formal training qualifying you to commission SF6 gas-insulated equipment</li>
<li>Membership or certification from a recognized provider of a high-voltage testing course</li>
<li>Comfort working within intercultural and cross-border environments</li>
</ul>

Commissioning Engineer

<h3>Job Description</h3>
Job DescriptionInfomatics is partnered with a large finance company that is hiring a Principal Data Engineer on a direct/FTE basis in Detroit Michigan. It is an on-site position. All applicants must be willing &amp; eligible to be hired directly on W2 without sponsorship. No 3rd parties need apply.Responsibilities:
<ul>
<li>Design, build and enhance Data Cloud workflows/pipelines to process billions of records in large-scale data environments with experience in end-to-end design and development of near-real time and batch data pipelines.</li>
<li>Design and build Data Warehouse based on Data Vault (DV-2) style of data model. </li>
<li>Design and build Data Lake and big data analytic solutions on AWS using streaming and batch processes. </li>
<li>Develop test strategies, software testing frameworks, and test automation</li>
<li>Champion a modern engineering culture and best practices-based software development </li>
<li>Leverage DevSecOps techniques and have working experience with modern tools such as GitHub, Jira, Jenkins, Crucible, and build automation. </li>
<li>Engage in application design and data modeling discussions.</li>
<li>Participate in developing and enforcing data security policies Drive delivery efficiency with automtion and reusable. </li>
</ul>
Background &amp; Experience Required
<ul>
<li>Bachelor's degree in Computer Science or related field required.</li>
<li>Minimum 5 years’ experience in field of data engineering involving analytics-focused data warehouse environments such as AWS, Snowflake, Hadoop, Oracle, etc. </li>
<li>Minimum 2 years working experience in AWS utilizing services such as S3, AWS CLI, and DynamoDB </li>
<li>Deep working knowledge of NoSQL, RDBMS, SQL, JSON, XML and ETL skills</li>
<li>Extensive experience in data transformations, cleansing, and de-duplication </li>
<li>Advanced knowledge of SQL (PSQL or TSQL) </li>
<li>Experience developing data pipelines for both Cloud and Hybrid Cloud infrastructures </li>
<li>Knowledge of python and other scripting languages is highly </li>
<li>Experience using modern ETL tools such as InfoSphere Datastage Cloud Pack, Apache NiFi, etc. </li>
<li>Experience working in an Agile delivery environment </li>
<li>Hands on experience building and using DevOps pipelines and automation.</li>
</ul>

Principal Date Engineer

<h3>Job Description</h3>
Job DescriptionWhy We Work at Dun &amp; BradstreetDun &amp; Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.Key Responsibilities:
<ul>
<li>Lead Production Operations for a large enterprise platform running in GCP.</li>
<li>Prioritize the incoming incidents and requests among the team members and ensure successful resolutions on them.</li>
<li>Perform analysis on the incoming incidents/requests, identify patterns for automation and operations improvements.</li>
<li>Provide hands-on Level 2/ Level 3 support for a platform running in GCP.</li>
<li>Provide on-call support for any customer impacting Severity 1 or 2 incidents.</li>
<li>Perform root cause analysis for any customer impacting Severity 1 or 2 incidents.</li>
<li>Become an application SME and guide other team members in the platform functionalities.</li>
<li>Co-Ordinate with development team and provide necessary support during deployment and ensure successful knowledge transition to Operations team on the deployments.</li>
<li>Learn new technologies to support the platform, as it evolves based on the organization technology goals.</li>
</ul>
Key Requirements:
<ul>
<li>8+ years of experience providing application support in a quick paced environment.</li>
<li>Experience with cloud computing platforms (Preferably GCP)</li>
<li>Strong analytical and problem-solving skills</li>
<li>Solid understanding of ITSM Fundamentals.</li>
<li>Ability to quickly learn new technologies.</li>
</ul>
 Nice to have:
<ul>
<li>Experience in providing technology support for platforms running in GCP.</li>
<li>Good Understanding of Java, IAM, LDAP, OKTA UID and Network concepts.</li>
<li>Hands on experience in Linux, Splunk, Power BI, SQL (BigQuery) &amp; NoSQL database, and JDBC.</li>
<li>Good understanding on Data Caching technologies and Containerization in GCP.</li>
<li>Exposure to ITMS tools such as ServiceNow, xMatters.</li>
</ul>
 Benefits We Offer·Generous paid time off in your first year, increasing with tenure.· Up to 16 weeks 100% paid parental leave&nbsp;after one year of employment.· Paid sick time&nbsp;to care for yourself&nbsp;or family members.&nbsp;· Education assistance&nbsp;and extensive training resources.· Do Good&nbsp;Program: Paid volunteer days&nbsp;&amp;&nbsp;donation matching.&nbsp;&nbsp;· Competitive&nbsp;401k with company matching.&nbsp;· Health &amp; wellness benefits, including discounted Wellhub&nbsp;membership rates.· Medical, dental&nbsp;&amp;&nbsp;vision insurance&nbsp;for you,&nbsp;spouse/partner&nbsp;&amp;&nbsp;dependents. All Dun &amp; Bradstreet job postings can be found at <a href="https://jobs.lever.co/dnb" target="_blank">https://jobs.lever.co/dnb</a>. Official communication from Dun &amp; Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. Equal Employment Opportunity (EEO): Dun &amp; Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found&nbsp;here. We participate in E-Verify - The current poster can be found here. Accommodations information for applicants with disabilities: Dun &amp; Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun &amp; Bradstreet, please send an e-mail to <a href="mailto:AcquisitionT@dnb.com" target="_blank">AcquisitionT@dnb.com</a> to let us know the nature of your accommodation request and your contact information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit <a href="https://bit.ly/3LMn4CQ" target="_blank">https://bit.ly/3LMn4CQ</a>.

Principal Support Engineer (R-18319)

<h3>Job Description</h3>
Job DescriptionZoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis, and it's a great time to join Zoox and make a significant impact on executing this mission. The ML Infrastructure team at Zoox plays a crucial role in enabling innovations in ML and CV and making autonomous driving as seamless as possible. The OpportunityWe are seeking a deeply technical, influential, and hands-on Principal Software Engineer to shape and build our next-generation ML Infrastructure and significantly reduce the time to develop and deploy large-scale ML and Foundational models to our robotaxi. You will lead the design and development of our Data, Compute, Model Training, and Serving Infrastructure. You will work across all AI teams within Zoox, including Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the data infrastructure responsible for ingesting PBs of sensor data and the systems used to assemble training datasets. We operate the compute infrastructure that powers Zoox’s model training, serving, and large-scale validation pipelines across tens of thousands of GPUs. We also operate the base layer of ML tools, deep learning frameworks, and inference systems used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our teams. You can learn more about our ML Infrastructure here and our stack behind autonomous driving here.&nbsp;In this role, you will:
<ul>
<li>Vision: Develop and execute a strategic vision for ML Infrastructure that will unlock innovation in autonomous driving and enhance our rider experience.&nbsp;</li>
<li>Technical acumen: Lead the design and implementation of cutting-edge infrastructure spanning all stages of an ML lifecycle from data preparation to training to evaluation, deployment, and serving.&nbsp;</li>
<li>Partnership: Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.</li>
<li>Mentorship: Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.</li>
</ul>
Qualifications
<ul>
<li>Experience building and managing large-scale ML infrastructure that powers the development of large-scale ML models</li>
<li>Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.</li>
<li>Strong experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs efficiently for distributed model training.</li>
<li>Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks.</li>
<li>Proficient in Python and/or C++.</li>
</ul>
Bonus Qualifications
<ul>
<li>Experience enabling the development and deployment of large-scale Foundation models.</li>
<li>Experience working on large-scale data infrastructure and big data processing frameworks like Apache Spark.</li>
<li>Experience working in the AV domain supporting Perception, Prediction, Planner et al.</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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