<h3>Job Description</h3>
Job Description
About Blue Water Thinking
Guided by our principles of value generation, continuous innovation, customer-centricity, and vested collaboration, Blue Water Thinking proudly supports our Federal clients in achieving their Agency goals.
Founded by a decorated twenty-eight year Veteran of the United States Army, Blue Water Thinking understands and supports the mission of our Nation's war fighters, Veterans, their families and caretakers. 
Leveraging our executive team's military experience and private and public sector consulting expertise, Blue Water Thinking takes an integrated "one-team" approach and brings to bear best-fit solutions, thought leadership, and grit to meet our client's transformational needs.
Fueled by our values of integrity, respect, professionalism, stewardship and customer service, the Blue Water Thinking team understands the power of the human connection, collaboration, humility and loyalty to one another, our clients and industry partners.
Lastly, our formula for success is simple: Build something good, take care of our people, keep our clients satisfied, nurture our work ethic and reputation, build long-lasting partnerships, enjoy what we do and give back as much as possible.
Job Description
A Project Manager performs tasks requiring management of a small-scale project encompassing multiple tasks with a total life cycle budget and complexity comparable to the task order at hand. Tasks may include tracking and coordinating medical device and clinical system interfaces through the project lifecycle; formulating and defining system scope and objectives in accordance with the customer technical requirements; compiling and analyzing technical data; advising client management and customers on complex system projects and activities; working closely with customers to define communication systems and equipment requirements; providing instruction on and performing and documenting quality assurance reviews.
Qualifications
The Contractor personnel shall meet the following basic qualifications, regardless of role in the services provided under this contract:
<ul>
<li>Experience within a medical center and Biomedical Engineering department</li>
<li>Experience working in or with the Veterans Health Administration (VHA)</li>
<li>Understanding of VISN, VA medical center, and Biomedical Engineering department operations</li>
</ul>
Additional required qualifications:
<ul>
<li>A Bachelor's degree or higher in Engineering or Certification as a Clinical Engineer (CCE).</li>
<li>A minimum of three years of hospital or healthcare experience maintaining medical equipment or managing a hospital medical equipment program.</li>
<li>Must have proven experience working within the U.S. Department of Veteran's Affairs</li>
<li>Demonstrated knowledge of concepts related to computer based medical systems, networking protocols, and information security as it applies to medical technology within VHA.</li>
<li>Extensive experience designing, developing, and implementing clinical system interfaces with electronic health records, ensuring compliance with relevant standards and protocols (e.g., HL7, FHIR, DICOM).</li>
<li>Extensive experience in managing medical imaging systems, ensuring compliance with DICOM standards for image storage, retrieval, and transfer.</li>
<li>Proven ability to lead projects related to integrating biomedical devices and systems with Electronic Health Records (EHR) and Picture Archiving and Communication Systems (PACS) using HL7 and DICOM protocols.</li>
<li>Demonstrated skill in in communicating and working collaboratively with key stakeholders, including technical, clinical, and professional staff at various levels of the organization.</li>
<li>Understanding of regulatory agencies' requirements (TJC), industry regulatory requirements and International Standard Organization standards.</li>
</ul>
Eligibility:
<ul>
<li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li>
<li>Must be able to obtain and maintain the required federal public trust clearance for this role</li>
</ul>
Compensation:
Salary for this position is determined by various factors, including but not limited to, location, the candidate's particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Salary range: $90,000 - $115,000
Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan.
Our Commitment to Equal Employment Opportunity.
Blue Water Thinking, LLC (BWT) is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.
Applying for this Job:
<ul>
<li>Resume must be submitted in word document format and must include dates in each section (experience, education, certifications...)</li>
<li>Candidates must fill out the below form to the best of their knowledge</li>
</ul>

Interfaces Project Manager - Biomedical Engineering

<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>
#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 DescriptionGPS Field Technician
Location: Maui, Hawaii Reports to: GPS Program Manager Employment Type: Full-Time Department: Civil Compensation: $25 - $40 / hr (based on experience)
The Opportunity
Alpha Inc. is seeking a detail-oriented and action-driven GPS Field Technician to join our growing civil construction team. This role plays a critical function in supporting layout accuracy and project tracking through advanced GPS systems and cutting-edge drone operations. From guiding excavation work to delivering actionable aerial data, you'll help ensure projects move forward on grade, on time, and on spec.
This position is uniquely designed for someone who thrives at the intersection of technology and fieldwork. You'll be flying the DJI M300 Survey Drone for 50% to 75% of your time, processing data with tools like Trimble Business Center, AutoCAD, and Propeller, and translating aerial models into meaningful site progress insights. If you're hands-on, tech-comfortable, and passionate about precision, this role offers both autonomy and impact.
About Alpha Inc.
At Alpha Inc., we are dedicated to building Hawaii's future through excellence in heavy civil construction, water well drilling, renewable energy, and concrete services. As a locally owned and operated company, we take pride in delivering high-impact projects that serve our communities for generations.
We live by three core values that shape how we work and lead:
<ul>
<li>Alpha Mentality – Demonstrating grit, accountability, and a relentless drive to excel.</li>
<li>Strength in Unity – Fostering trust and collaboration to achieve collective success.</li>
<li>Lead with Heart – Approaching every endeavor with humility, empathy, and respect.</li>
</ul>
Join us in shaping what's next — with purpose, pride, and the Alpha mindset.
What You Will Do
Lead GPS and Drone-Based Surveying
<ul>
<li>Operate the DJI M300 drone to perform regular aerial surveys, stockpile volumetrics, and site documentation.</li>
<li>Process flight data using platforms like Propeller Aero and Trimble Business Center.</li>
<li>Upload and manage 3D site models and align with current field conditions.</li>
</ul>
Support Construction Layout and Site Accuracy
<ul>
<li>Set up and operate GPS equipment and total stations for excavation, utilities, and concrete layout.</li>
<li>Collaborate with operators and foremen to ensure accurate line and grade.</li>
<li>Conduct as-built verification and relay layout details in real-time.</li>
</ul>
Contribute to Field Operations
<ul>
<li>Perform physical tasks including digging, lifting, and general site preparation.</li>
<li>Maintain clear communication and documentation for field records and progress.</li>
<li>Adhere to Alpha's safety and quality standards at all times.</li>
</ul>
What You Bring
<ul>
<li>1–3 years of experience in civil construction, surveying, or GPS-guided equipment operation.</li>
<li>Strong interest or experience in drone technology and aerial mapping.</li>
<li>Familiarity with Trimble GPS systems, AutoCAD, and drone survey tools like Propeller.</li>
<li>FAA Part 107 Drone Pilot Certificate preferred (or willingness to earn it).</li>
<li>Ability to lift up to 100 lbs and work in varied outdoor conditions.</li>
<li>Dependable, proactive, and able to work independently and in a team.</li>
</ul>
Preferred Skills &amp; Experience
<ul>
<li>Hands-on experience flying DJI M300 or similar drones.</li>
<li>Proficiency in Trimble Business Center or similar post-processing software.</li>
<li>Exposure to heavy civil layout, utility placement, or concrete work.</li>
<li>OSHA 10/30 certification or traffic control (flagger) training is a plus.</li>
</ul>
Why Alpha?
At Alpha Inc., we're not just building infrastructure—we're building Hawaii's future with purpose, precision, and pride. As a locally owned company, we take on complex challenges with a clear mission: deliver high-impact solutions rooted in ingenuity, 'ohana, and long-term impact.
Here, you'll join a team that leads with heart, embodies strength in unity, and lives the Alpha Mentality. We value grit, trust, and teamwork—and we believe success comes from doing the work that matters, together.
If you're driven by craft, motivated by community, and ready to build what lasts—you belong at Alpha.
If you're ready to be part of a dynamic, fast-paced company that offers more than just a job, Apply with Alpha Inc. Hawaii today!
Equal Opportunity &amp; Inclusion
Alpha Inc. is an Equal Opportunity Employer. We are committed to fostering a workplace that embraces diversity, equity, and inclusion. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, genetic information, marital status, arrest and court record, domestic or sexual violence victim status, credit history, or any other classification protected under applicable federal, state, or local laws, including those enforced by the Hawai'i Civil Rights Commission (HCRC).

Work Authorization
Applicants must be currently authorized to work in the United States on a full-time basis. Alpha Inc. is unable to sponsor or assume sponsorship of employment visas (including H-1B, TN, E-3, O-1, etc.) at this time.
Candidates selected for hire will be required to provide documentation verifying their identity and eligibility to work in the U.S. as part of the employment eligibility verification process.

Accommodations
If you require a reasonable accommodation to participate in the application or interview process, please contact us at <a href="mailto:careers@alphahawaii.com" target="_blank">careers@alphahawaii.com</a>.

GPS Field Technician

<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 skilled Senior Manager of Machine Learning Engineering with a strong background in ML model productionization. This role oversees ML Engineering efforts to productionize and deploy ML models that predict the cost to manufacture customers' parts and determine the best price to charge for them. This is at the core of our business with substantial opportunity for impact by solving interesting and challenging technical problems.
The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role, and experience with pricing algorithms and deep learning. 
This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.
Responsibilities:
<ul>
<li>Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.</li>
<li>Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business</li>
<li>Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.</li>
<li>Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.</li>
<li>Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.</li>
<li>Implement and manage infrastructure for large-scale data processing, model training, and inference.</li>
<li>Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.</li>
<li>Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.</li>
<li>Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.</li>
<li>Foster a culture of innovation, collaboration, and continuous learning within the engineering team.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.</li>
<li>8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.</li>
<li>Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes.</li>
<li>Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.</li>
<li>Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.</li>
<li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.</li>
<li>Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.</li>
<li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li>
<li>Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
<li>Experience with pricing algorithms</li>
<li>Experience with neural networks and deep learning</li>
<li>Experience with containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.</li>
<li>Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</li>
</ul>
#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.

Senior Manager, ML Engineering

<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 Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning &amp; coding. You will play a crucial role in the Xometry platform and everything you do will matter.
Responsibilities:
<ul>
<li>At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform</li>
<li>Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers.</li>
<li>You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform</li>
<li>Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform</li>
<li>Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations</li>
<li>Monitor machine learning models and AI performance and troubleshoot issues as they arise</li>
<li>Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively</li>
</ul>
Qualifications:
<ul>
<li>Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc</li>
<li>Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)</li>
<li>Successful candidates in this role need to be able to bridge state of the art approaches to real world impact</li>
<li>A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems</li>
<li>An engineer with a self-driven attitude who can own problems and deliver solutions</li>
<li>Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing</li>
<li>A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking</li>
<li>Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis</li>
<li>Experience building and consuming CI/CD pipelines</li>
<li>Someone who knows their way around the command line and has experience working with *nix systems</li>
<li>5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products</li>
<li>3+ years experience leading cross-team engineering efforts</li>
<li>Strong execution skills in project management</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
</ul>
#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.

Senior Machine Learning Engineer

<h3>Job Description</h3>
Job Description
Integration Engineer (Mid) and Mid-Level Systems Engineer - Financial Management
TS/SCI Clearance REQUIRED
Overall Assignment Description:
Overall Assignment Description: 
Mid-level Integration Engineers are responsible for developing or assisting with the development of program and project integration solutions across the enterprise and determining integration/interface requirements. They work with systems engineers, solutions architects and programmers to ensure applications and systems interoperate to deliver end-to-end mission solutions and maintain the integrity of the system-of-system enterprise. 
Duties include: 
<ul>
<li>Provides a total systems perspective including a technical understanding of relationships, dependencies and requirements of hardware and software components.</li>
<li>Supports planning, implementation approaches, and documentation of solutions to total systems or subsystems using internally created and/or commercial off-the-shelf products.</li>
<li>Analyses, designs, tests, and evaluates network systems such as Cloud Resident computing capabilities, satellite networks, local area networks (LANs), wide area networks (WANs), the Internet, intranets, and other data communications systems ranging from a connection between two offices in the same building to a globally distributed network of systems.</li>
<li>Supports the planning and implementation approaches of data management practices to treat and handle data as a resource.</li>
<li>Assists Government in managing system development efforts, moves or modernization changes including analysis, telecommunications (LAN, WAN, voice, video), planning, cabling, IT and cloud requirements, network security measures, and other factors.</li>
<li>Refer to Section 3.3: Enterprise Integration Engineering (Cross System and Segment) for a listing of expected work activities the Integration Engineer position would be required to support.</li>
</ul>
Skills and Experience:
Required:
<ul>
<li>Bachelor's degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid level experience as a Integration Engineer.</li>
<li>Mid-level working experience in government or industry in data base management or Big Data analysis.</li>
</ul>
Desired:
<ul>
<li>Working knowledge of Model Based Systems Engineering, processes, tools and languages.</li>
</ul>
Additional Details:
Mid-Level Systems Engineer - Financial Management
Ready to join NGA's Enterprise Engineering and Architecture Group and partner with the NGA Financial Management (FM) Organization to:
<ul>
<li>Document the current "As-Is" FM System Baseline (e.g., Architecture, Requirements, Data/Information Flows)</li>
<li>Provide engineering thought leadership to define and document the future "To-Be" FM Architecture</li>
<li>Help integrate FM into the Digital Engineering (DE) Environment as an Authoritative Source of Truth (ASoT) data provider and consumer / user of DE data, tools, and analytic capabilities?</li>
</ul>
This is an exciting new opportunity to introduce systems engineering processes, rigor, and governance to FM, to drive modernization of their system architecture and business processes. Along with growing your Systems Engineering skills, you will have the opportunity to learn about Government financial management systems, workflows, and data ontologies and gain hands-on experience with Business Process Engineering, capturing, modeling, and analyzing end-to-end business flows, identifying opportunities for process re-engineering. 
Leveraging the standardized suite of Enterprise Engineering &amp; Architecture Tools (e.g., Jira, Confluence, Cameo, Doors Next Generation, Baseline Management System / Service Now), duties include (but are not limited to):
<ul>
<li>Partnering with Enterprise Engineering and Architecture Teams (e.g., Enterprise Architecture, Enterprise Requirements, Enterprise Release Management, Enterprise Schedule Management, Configuration Management), introduce, coach, and guide FM teams on enterprise engineering, architecture, and integration resources, processes, and tools</li>
<li>Capture and baseline As-Is FM requirements – e.g., Data, Dashboards, Reports</li>
<li>Assist System Architects in capturing and baselining the As-Is FM architecture – Systems, Interfaces</li>
<li>Author and lead enterprise coordination for Requests for Change (RFCs) to formally establish the FM baseline (Requirements, Architecture, Interfaces, etc)</li>
<li>Support development of the To-Be FM architecture and requirements; author Solution Epics to capture Lean Business Cases</li>
<li>Assist FM in developing roadmaps and schedules for FM architecture modernization activities</li>
<li>Develop FM Use Cases / Mission Threads to drive the To-Be FM architecture</li>
<li>Support FM Risk Management Processes for FM architecture modernization activities</li>
<li>Working with FM Teams, support Business Process Engineering activities. Capture end-to-end flows; model; analyze (e.g., workflow bottlenecks); and derive requirements to drive business process re-engineering</li>
<li>Working with FM Data Architecture SMEs, support FM data architecture activities. eg.,</li>
<ul>
<li>Capturing of FM data architecture and data flows</li>
<li>Expansion of FM data management approach</li>
<li>Maturation of the FM Ontology</li>
<li>Collaboration with the NGA Chief Data Office Team to ensure alignment to Agency data management and governance practices, policies, and initiatives</li>
</ul>
<li>Participate in Digital Engineering Program Increment Planning Events, working with DE and FM Teams to define Features for FM integration with the DE Environment; participate in associated engineering discussions / TEMs</li>
</ul>
Skills and Experience:
Required:
<ul>
<li>Bachelor's degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.</li>
<li>6 years of technical experience is required. If that experience is as an Integration Engineer, it may be considered in lieu of a degree.</li>
<li>6 years of working experience in government or industry in data base management or Big Data analysis.</li>
</ul>
Desired:
<ul>
<li>Documented work experience and demonstrated knowledge with Systems Engineering Processes (e.g., Requirements, Use Case, CONOPS, and/or Epic development; Risk, Configuration, and/or Schedule Management)</li>
<li>Familiarity with Architecture Artifacts (e.g., DoDAF Architecture Views – Service and System)</li>
<li>Hands-on experience with the NGA RFC process</li>
<li>Knowledge of Government Financial Management systems and workflows</li>
<li>Hands-on experience with Jira and Confluence</li>
<li>Training, certification, and hands-on experience with SAFe Agile</li>
<li>Basic understanding of Digital Engineering / Model Based System Engineering concepts</li>
<li>Experience with Business Process Engineering</li>
<li>Experience facilitating TEMs</li>
<li>Strong communication skills, verbally and written; detail-oriented</li>
</ul>

Integration Engineer (Mid) TO01 Position 89 PD 15 Job# 617

<h3>Job Description</h3>
Job Description
AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
AST &amp; Science is a designer and manufacturer of satellites for low-Earth orbit (LEO). We are dramatically transforming how satellites are designed, built, and launched, affording government and commercial entities significant advantages over other technologies, including accelerated launch times, decreased costs on many fronts and amplified resiliency to external threats. 
Job Description:
The successful Engineer (Mechanisms) will be responsible for development of assembly, integration, and test (AI&amp;T) of various space-flight mechanisms for the deployment of a satellite constellation. He or she will be a key contributor in non-recurring and recurring/sustaining efforts and activities for the mechanisms and related elements as well as delivery of the system to spacecraft integration &amp; testing. 
The successful candidate will be innovative, creative, and challenge the status quo. He or she will work well in teams while also having the ability to work assignments autonomously. 
Responsibilities:
<ul>
<li>Participates in iterative mechanism design improvements based upon their findings in test and production </li>
</ul>
<ul>
<li>Perform tests and lead test teams. Develop testing requirements, materials, processes, and tooling (vibration, shock, TVAC, assembly). </li>
</ul>
<ul>
<li>Participate in and execute design, analysis, and system trade studies to determine mechanism AI&amp;T at system and spacecraft levels in terms of workflow simplicity, efficiency of handling and integration, test accommodation, and production speed. </li>
</ul>
<ul>
<li>Provides inputs to Design Engineering to optimize the manufacturing flow, cost and layout, applying knowledge of product design, fabrication, assembly, tooling and materials. </li>
</ul>
<ul>
<li>Provides product and process reports by collecting, analyzing and summarizing information; soliciting observations from operators and technicians. </li>
</ul>
<ul>
<li>Execute design and analysis using sound engineering principles and adhering to business standards, practices, procedures, and program requirements. </li>
</ul>
<ul>
<li>Troubleshoot and investigate anomalies and failures, perform root-cause analysis, and provide resolution. </li>
</ul>
<ul>
<li>Provides manufacturing engineering support to Production. </li>
</ul>
Qualifications:
<ul>
<li>Degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering or equivalent experience. </li>
</ul>
<ul>
<li>Preferred: 2+ years previous experience as an aerospace or similar manufacturing engineer. </li>
</ul>
<ul>
<li>Knowledge/experience of mechanism development and testing for space hardware. </li>
</ul>
<ul>
<li>Demonstrated ability to work in a multidisciplinary team with other engineers. </li>
</ul>
<ul>
<li>Flexibility/adaptability in a fast-paced &amp; dynamic environment. </li>
</ul>
<ul>
<li>Excellent English written and verbal communication skills. </li>
</ul>
<ul>
<li>Must be a US citizen or have permanent resident card. </li>
</ul>
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Mechanisms Engineer

<h3>Job Description</h3>
Job DescriptionJoin Our Talented Team at Protagonist
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.
Why Us?
Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.
What We Do
<ul>
<li>Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.</li>
<li>Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.</li>
<li>Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.</li>
</ul>
Be Part of Something Bigger
At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.
Explore Your Future with Us!
Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.
Job Description
*Note that this a temporary subcontract position--outstanding performance may lead to full-time consideration; We are also recruiting for a full-time Senior Machine Learning Engineer based in Washington, DC—please visit our careers page for details and to apply*
You are a hands-on Machine Learning Engineer passionate about creating production-ready systems that power mission-critical work. You bring strong engineering discipline, systems thinking, and a bias toward scalable, well-architected solutions. You work across the full ML lifecycle—building and deploying tools that solve complex problems efficiently and reliably.
You are a strategic contributor and builder who collaborates across engineering, product, and client-facing teams to expand the role of AI at Protagonist. You are deeply curious, continuously learning, and committed to staying current with advances in machine learning, infrastructure, and software development.
Responsibilities
<ul>
<li>Partner with product, engineering, data science, and analysis teams to identify and execute high-impact NLP use cases</li>
<li>Translate business requirements and stakeholder needs into actionable ML solutions that deliver measurable value</li>
<li>Design and implement state-of-the-art NLP solutions with scalable pipelines for multi-modal, multi-language data, utilizing transformers, LLMs, and generative modeling techniques</li>
<li>Lead technical discussions with cross-functional teams to align on ML strategy, architecture, and implementation plans</li>
<li>Architect cloud-native ML solutions leveraging containerization (Docker, Kubernetes) and MLOps best practices</li>
<li>Implement RAG (Retrieval Augmented Generation) pipelines and vector search systems to enhance model performance</li>
<li>Develop, optimize, and maintain production-ready ML systems and infrastructure with a focus on cost-efficiency, reliability, reproducibility, and real-world performance</li>
<li>Build solutions for narrative detection, event classification, entity resolution, and other bespoke model applications</li>
<li>Fine-tune and deploy language models for specific business domains with parameter-efficient methods (LoRA/PEFT)</li>
<li>Improve foreign-language and noisy/mixed-modality input handling</li>
<li>Establish robust ML evaluation frameworks including regression testing and hallucination detection</li>
<li>Enhance data coverage and quality across structured and unstructured sources</li>
<li>Work with product managers to define success metrics and evaluation strategies for ML features</li>
<li>Lead by example in mentoring, planning, and cross-functional collaboration</li>
<li>Advance ML practices through knowledge sharing and contribute to product improvements</li>
<li>Evaluate and adopt best practices in ML systems and balance innovation with practical delivery</li>
</ul>
Requirements
<ul>
<li>Must be eligible to work on government contracts that may be restricted to U.S. persons; active or prior SECRET clearance preferred.</li>
<li>Bachelor's degree with 7+ years of work experience or advanced degree with 5+ years of work experience in Computer Science, Machine Learning, or related technical field.</li>
<li>5+ years of experience building and deploying ML systems in production with focus on NLP</li>
<li>Deep expertise in modern NLP approaches including transformers, LLMs, and embedding models</li>
<li>Proven ability to work effectively across engineering, product, and business teams to deliver ML solutions</li>
<li>Skilled in scaling ML for real-world applications and working with multi-modal (text, image, video) and domain-specific data.</li>
<li>Strong Python skills and fluency with deep learning frameworks (PyTorch, TensorFlow, Hugging Face)</li>
<li>Experience with MLOps tools and practices (MLflow, Kubeflow, Airflow, model registries)</li>
<li>Proven experience with cloud infrastructure (AWS, GCP, or Azure) and Infrastructure as Code</li>
<li>Knowledge of distributed computing frameworks (Spark, Ray) for large-scale data processing</li>
<li>Experience with vector databases (Pinecone, Milvus, OpenSearch) and search optimization</li>
<li>Familiarity with containerization, Kubernetes, and CI/CD pipelines</li>
<li>Experience with orchestration tools (e.g., MLflow, Metaflow, Argo), cloud infrastructure, data lakes, and modern ML stack architectures.</li>
<li>Bonus: Experience integrating ML into dashboards or decision-support tools.</li>
<li>Effective communicator and cross-functional collaborator.</li>
<li>Strong self-starter comfortable with ambiguity and startup-like environments.</li>
<li>Prior experience managing direct reports is a plus.</li>
</ul>
Join Us
If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.
Protagonist is an Equal Opportunity Employer. 
Salary Range: This is an hourly based short-term contracted position; hourly rate commensurate with education and level of relevant experience.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Senior Machine Learning Engineer (1099)

<h3>Job Description</h3>
Job Description
OUR COMPANY:
EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.
WHAT YOU WILL DO:
As a Tier 2 Audio Visual Field Technician, you will play a key role in supporting our project delivery teams by installing and maintaining a wide variety of AV technologies across client sites. You will be responsible for ensuring high-quality installations, troubleshooting technical issues, and maintaining strong communication with project stakeholders.
**THIS POSITION REQUIRES UP TO 70% TRAVEL. 
KEY RESPONSIBILITIES:
<ul>
<li>Provide daily reporting to the Project Management team.</li>
<li>Install a wide variety of AV technology in both existing and new build project sites.</li>
<li>Perform cable management and layout planning for 1st fix hardware, including bracketry and ceiling speaker hardware.</li>
<li>Ensure compliance with general contract requirements during installations.</li>
<li>Apply knowledge of low voltage electrical concepts.</li>
<li>Utilize basic carpentry and installation skills.</li>
<li>Operate power tools safely and effectively.</li>
<li>Diagnose, troubleshoot, and resolve technical problems.</li>
<li>Travel to other sites as needed to support projects and installations.</li>
</ul>
ESSENTIAL CRITERIA:
<ul>
<li>Experience with AV systems such as Crestron, Extron, QSYS, or Cisco.</li>
<li>Understanding of signal flow and AV rack building to AVIXA standards.</li>
<li>Familiarity with AV industry cabling and connector termination.</li>
<li>Strong sense of urgency and agility in dynamic environments.</li>
<li>Excellent customer interaction skills and professionalism.</li>
<li>Ability to work independently in high-pressure, fast-paced settings.</li>
<li>Commitment to ongoing technical development.</li>
<li>Willingness and eligibility to travel and work globally.</li>
<li>Strong organizational and time management skills.</li>
<li>Effective written and verbal communication.</li>
<li>Critical thinking and problem-solving abilities.</li>
<li>Flexibility and adaptability to changing work hours and customer needs.</li>
<li>Team-oriented mindset.</li>
<li>Valid driver's license.</li>
</ul>
DESIRABLE CRITERIA:
<ul>
<li>1–3 years of experience in the AV/VC industry.</li>
<li>Deeper knowledge of signal flow and AV installation.</li>
<li>Familiarity with Cisco, Extron, Crestron, or QSYS systems.</li>
<li>AVIXA CTS or CTS-I certification.</li>
<li>OSHA 10/30 or SST certification.</li>
</ul>
EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.
The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws.
Pay Range$32—$41 USD

Tier 2 Audio Visual Field Technician

<h3>Job Description</h3>
Job Description
Requirements Engineer (Senior)
Clearance Required: TS/SCI
 Minimum Years' Experience: 12 years
Overall Assignment Description:
Requirements Engineers are Systems Engineers that apply a structured approach to design and implementation of systems and processes. They capture and translate mission and customer requirements in order to transform them into capabilities, testing, and validation of services. Requirements Engineers analyze and allocate requirements to systems architecture components and oversee the development, testing, and validation of systems and services. They also coordinate the integration of systems and services into enterprise architecture and oversee deployment. They are responsible to the program Chief Engineer and the engineering team to achieve desired outcomes for the customer.
Duties may include: 
<ul>
<li>Decomposing and allocating strategic level requirements/needs from ECDs, SOCs, ICBDs, CDDs, and Agency CONOPS, as appropriate.</li>
<li>Maintaining consistency with the Agency's requirements process and CIO-T strategy while developing engineering artifacts, requirements documentation, and business cases.</li>
<li>Implementing strategic plans and programs in coordination with senior internal and external stakeholders.</li>
<li>Building and maintaining collaborative relationships with NGA Integrated Program Offices, segments, matrixed technical offices, other NGA acquisition offices, and process stakeholders.</li>
<li>Interfacing with the Agency Model-Based Systems Engineering (MBSE) system.</li>
<li>Developing and maintaining a Requirements Traceability Verification Matrix (RVTM) for the program to ensure all requirements are allocated and tested as needed.</li>
<li>Developing and maintaining program performance measures.</li>
<li>Developing, communicating, and participating in systems engineering projects or boards; applying in-depth knowledge to committees and working groups that plan, collaborate, and execute systems programs and initiatives.</li>
<li>Ensuring management is informed of all issues, risks and opportunities in a timely manner.</li>
<li>Use the Joint Architecture Reference Models (JARM) to describe, analyze, and identify potential architectural service gaps, support AOA, leverage existing resources, and assist with invest and divest decisions for the program and the agency.</li>
<li>Capture strategic Sensor Program requirements from associated Concept of Operations Documents.</li>
<li>Guiding Mid-, and Junior-level Requirements Engineers.</li>
</ul>
Skills and Experience:
Required:
<ul>
<li>Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, or related equivalent additional experience.</li>
<li>Senior-level or higher experience working in a Requirements Engineering discipline or a closely-related field that demonstrates the ability to successfully perform the tasks associated with this work.</li>
<li>Experience tracing program/project requirements to the source requirement such as the Joint Architecture Reference Models (JARM), and JARM Technical Service Types (TSTs) for duplication analysis and gap analysis.</li>
<li>Ability to coordinate with users and stakeholders to develop Sensor program requirements for new and changing mission needs.</li>
</ul>
Desired:
<ul>
<li>Master's degree in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program.</li>
<li>Knowledge of the geospatial intelligence mission and its contributions to the Intelligence Community.</li>
<li>Familiarity with NGA's Request for Change (RFC) process to validate and assign program requirements to NGA segments.</li>
<li>Familiarity with agile development to include participation in scrums, development of solution epics, lean business cases, program epics, user stories, and features.</li>
<li>Scrum master experience.</li>
<li>Experience using DOORS Next Generation (DOORS NG) to manage requirements and interface with Enterprise Requirements Management.</li>
<li>Experience with tools such as JIRA, CONFLUENCE, and Tableau for tracking requirements, documentation, and backlog progress.</li>
<li>Previous NGA and/or NSG/ASG program/project work experience.</li>
<li>Previous IC or DoD program/project work experience.</li>
</ul>

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