machine learning data engineer

Peraton

<div><div><h5 class="jobSectionHeader"><b>ABOUT PERATON</b></h5><p>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p></div><div><h5 class="jobSectionHeader"><b>
ABOUT THE ROLE</b></h5><div><div>
Peraton is seeking a Data Engineer (Model Pipeline) SME to support U.S. Customs and Border Protection (CBP) with analytics and intelligence support. This role is responsible for designing, building, and maintaining scalable data pipelines that support analytics, machine learning model pipelines, and mission-critical intelligence operations.</div><div></div><div><br>
The engineer will work with large, complex datasets to enable advanced analytics and operational decision-making across CBP mission environments. This position requires strong expertise in data engineering, ETL/ELT development, cloud platforms, and big data technologies, as well as the ability to collaborate across cross-functional teams in a federal mission environment.</div><div></div><div><br>
Support will be provided across multiple mission locations:</div><ul><li>
Ashburn, VA</li><li>
Sterling, VA</li><li>
Washington, D.C.</li></ul><div><b>
Key Responsibilities</b></div><ul><li>
Design and maintain scalable data pipelines supporting analytics and machine learning workflows.</li><li>
Build and optimize ETL/ELT processes for large structured and unstructured datasets.</li><li>
Implement batch and real-time data processing pipelines to support operational and analytical use cases.</li><li>
Develop and maintain data models and datasets that enable analytics, reporting, and machine learning.</li><li>
Support cloud-based data platforms and modern data architectures (data lakes, warehouses, and hybrid environments).</li><li>
Utilize distributed and streaming technologies (e.g., Spark, Kafka) for large-scale data processing.</li><li>
Ensure data quality, governance, security, and compliance with federal data protection requirements.</li><li>
Collaborate with engineers, analysts, and stakeholders to deliver scalable, analytics-ready data solutions.</li><li>
Document pipeline architecture and contribute to Agile development and CI/CD practices.</li></ul><div><b>
**Position is contingent upon contract award**</b></div></div></div><div><h5 class="jobSectionHeader"><b>
QUALIFICATIONS</b></h5><div><div><b>
Required Qualifications</b></div><ul><li>
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA. 16 years with HS diploma/equivalent can be considered in lieu of a degree.</li><li>
8+ years of experience in data engineering or related technical roles</li><li>
Strong proficiency in SQL and experience with relational and NoSQL databases</li><li>
Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar frameworks</li><li>
Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or equivalent)</li><li>
Proficiency in Python, Java, or Scala for data processing and automation</li><li>
Experience designing scalable data architectures in distributed environments</li></ul><div><b>
Clearance Requirements</b></div><ul><li>
Active TS/SCI clearance required</li><li>
Ability to obtain and maintain CBP (BI) suitability</li><li>
U.S. Citizenship required</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field</li><li>
Experience with big data technologies such as Spark, Hadoop, or Kafka</li><li>
Familiarity with containerization and orchestration tools (Docker, Kubernetes)</li><li>
Knowledge of federal security and data governance frameworks (e.g., NIST)</li><li>
Cloud certifications such as AWS Certified Data Analytics or Google Professional Data Engineer</li><li>
Experience supporting DHS, CBP, or other federal agencies</li></ul></div></div><div></div><div><h5 class="jobSectionHeader"><b><br>
DETAILS</b></h5><div><p>
<b>Target Salary Range:</b> $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</p></div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</p></div><div><p>
<b>Application Duration Statement:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</p></div><p><b>
EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

DATA ENGINEER (MODEL PIPELINE) SME

<div><p>ECS is seeking a <b>Junior Data Engineer</b> to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our <b><i>Fairfax, VA</i></b> ECS office and/or our <b><i>Springfield, VA</i></b> customer site.</p>
<p>
</p><p>ECS seeks a Junior Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team environment. This role will report to a project lead and will focus on developing and maintaining data pipelines, as well as performing data analysis, to support Artificial Intelligence development across multiple classification levels and environments.</p>
<p>
</p><p>Position Responsibilities:</p>
<ul>
<li>Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts.</li>
<li>Work in person at the required office and, as needed, classified locations with team members and customer stakeholders.</li>
<li>Coordinate with the Project Manager and Data Team to determine data requirements.</li>
<li>Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork.</li>
<li>Extract, transform, and load data to prepare for ingestion into Machine Learning (ML) development environments.</li>
<li>Assist with the design and development of data services and pipelines, working to optimize data delivery and automate manual processes.</li>
<li>Independently identify, document, and address technical challenges.</li>
<li>Perform multiple tasks simultaneously and successfully under changing priorities and deadlines.</li>
<li>Complete data analysis, catering results to the customer in a holistic and easy-to-understand way.</li>
</ul>
<p></p><p>We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.</p>
<p>
</p><p>#INTEL</p>
Requirements:
<ul><li><b><i>Must be a US Citizen</i></b></li>
<li><b><i>Ability to obtain a TS/SCI Clearance</i></b></li>
<li><b><i>A Bachelor's Degree in Data Engineering, Data Science, Information Management, Computer Science, Engineering, or an equivalent field</i></b></li>
<li>0-3+ years of working experience in one of the related areas: Data Engineering, Computer Engineering, Computer Science, or Data Science</li>
<li>Demonstrated proficiency with Python, Pyspark, and/or SQL</li>
<li>Experience with text parsing</li>
<li>Experience transforming and manipulating data sets</li>
<li>Excellent communication skills, critical thinking skills, and problem-solving abilities</li>
</ul>
<br>
Req Benefits:
<div>https://ecstech.com/careers/benefits/&quot;&gt;https://ecstech.com/careers/benefits/</div></div>

Junior Data Engineer

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Linguistic Data Engineer
</div></div></div></div><div><div><div><div>City: Redmond
</div></div></div></div><div><div><div><div>State/Province: Washington
</div></div></div></div><div><div><div><div>Posting Start Date: 3/16/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><h1 class="jobSectionHeader"><br>
<b>Role Purpose
</b></h1><h1 class="jobSectionHeader"><br>
<b>The purpose of this role is to prepare test cases and perform testing of the product/ platform/ solution to be deployed at a client end and ensure its meet 100% quality assurance parameters.
</b><br>
</h1></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Required Skills:
</b></p><ul><li>Familiarity with data processing and visualization languages and tools such as Python.
</li><li>Turkish native having expertise in Turkish language
</li><li>Technical skills and experience in Python, Regex, SQL
</li><li>Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.
</li><li>Understanding of the relationship between data and machine learning models.
</li><li>Ability to read and adapt existing scripts for data manipulation, both in peer-developed notebooks and within the command line.
</li><li>Knowledge of the main differences across dialects/varieties of the Italian, Spanish, German languages are required
</li><li>Excellent communication and teamwork skills
</li><li>Ability to work with a large amount of language data
</li><li>Ability to work with diverse and quickly changing workflow
</li><li>Ability to learn new things quickly
</li><li>High level of flexibility and ability to quickly adapt to new types of tasks
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Competencies
</b></h2></div><div><div>Client Centricity
</div><div>Passion for Results
</div><div>Execution Excellence
</div><div>Collaborative Working
</div><div>Learning Agility
</div><div>Problem Solving &amp; Decision Making
</div><div>Effective communication
</div></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Cloud Platform Resilence Test Engg .<br>
<p></p>Experience: 1-3 Years .<br>
<p></p>The expected compensation for this role ranges from $37,500 to $83,600 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Linguistic Data Engineer

Tanaq Support Services LLC

<p>Description:<br/></p><p>Overview<br/></p><p>Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS&rsquo;s innovative approach combines proactive strategies, efficient processes and emerging technologies to deliver seamless, integrated services for our clients. TTS prides itself in being Mission Driven, People Focused. To learn more about us, visit https://tanaq.com/tanaq-technical-services.<br/></p><p>About the Role<br/></p><p>We are seeking a Senior Data Engineer to design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. The Data Engineer will ensure efficient, scalable, and secure data workflows for machine learning, advanced analytics, and AI integration.<br/></p><p>This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.<br/></p><p>Responsibilities<br/></p><p>Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms.<br/>Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility.<br/>Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI).<br/>Collaborate with Data Scientists to operationalize models and enable scalable AI solutions.<br/>Implement data governance, versioning, and lineage tracking for compliance.<br/>Monitor and maintain high-performance data systems and optimize for throughput.<br/>Requirements:<br/></p><p>Required Experience and Skills<br/></p><p>5+ years of experience in data engineering for AI/ML workflows<br/>Expertise in cloud-native data systems and large-scale data processing<br/>Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance<br/>Previous experience supporting HUD OCIO preferred.<br/>Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.<br/>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.<br/></p><p>Technical Skills<br/></p><p>Cloud platforms: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory<br/>ETL/ELT frameworks: Airflow, Spark, Databricks<br/>Data modeling, schema design, and optimization for AI workloads<br/>Programming: Python, SQL<br/>Version control: Git/GitHub/GitLab<br/>Data governance, metadata management, and logging<br/></p><p>Core Competencies<br/></p><p>Collaboration with Data Scientists, DevOps, and UX teams<br/>Problem-solving for scalable AI/ML pipelines<br/>Documentation and reproducible workflows<br/>Agile development mindset and iterative improvement<br/>Security, privacy, and compliance awareness<br/></p><p>Education and Training<br/></p><p>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field. Master&rsquo;s degree in related field, preferred.<br/>Certifications in cloud data platforms (AWS, Azure), preferred.<br/></p><p>Physical Requirements<br/></p><p>Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds.<br/></p><p>Who We Are<br/></p><p>Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients&rsquo; vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners.<br/></p><p>Our Commitment to Non-Discrimination<br/></p><p>Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.<br/></p><p>If you are an individual with a disability and need assistance completing any part of the application process, please email accommodation@tanaq.com to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications.<br/></p><p>Notice on Candidate AI Usage<br/></p><p>Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at accommodation@tanaq.com.<br/></p><p>To apply for this and other positions with our company, visit:<br/></p><p>https://recruiting.paylocity.com/recruiting/jobs/All/31dd0607-5fe1-43cc-a916-35084f250a54/Tanaq-Technical-Services-LLC<br/></p><p>Benefits:<br/></p><ul><li>401(k)</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible spending account</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Referral program</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location: Remote<br/></p>

Senior Data Engineer

<div><p>SMX is seeking a <b>Data Engineer (AI) Senior Engineer</b> to contribute to the development and sustainment of data pipelines and data services that enable AI/ML capabilities within Army Intelligence mission environments. This role focuses on preparing transforming, and delivering reliable data to support model training, inference, and analytic workflows. The Data Engineer (AI) Senior Engineer partners with AI/ML engineers, analysts, platform teams, and mission leadership to align data capabilities with operational outcomes, security, and governance.</p>
<p><b>
This is a full-time onsite position in Ft. Belvoir, VA.</b></p>
<p><b>
Essential Duties &amp; Responsibilities</b></p>
<h2 class="jobSectionHeader"><b>
Data Pipeline Development &amp; Maintenance</b></h2>
<ul><li>Build, maintain, and optimize ETL/ELT pipelines that supply structured and unstructured data to AI/ML workflows.</li>
<li>Implement data ingestion, cleansing, transformation, normalization, and feature preparation steps according to established methods.</li>
<li>Ensure pipelines are reliable, repeatable, and well-documented.</li>
</ul><h2 class="jobSectionHeader"><b>Data Quality, Validation &amp; Monitoring</b></h2>
<ul><li>Perform data profiling, validation, and integrity checks to ensure high-quality inputs to AI/ML models.</li>
<li>Monitor data pipeline performance and data flow health; document and escalate issues to senior engineers.</li>
<li>Contribute to improving data observability and traceability.</li>
</ul><h2 class="jobSectionHeader"><b>Deployment &amp; Monitoring</b></h2>
<ul><li>Employ Agile methodologies for project management.</li>
<li>Manage deployment pipelines, containerization, and CI/CD workflows for AI services in the cloud to ensure reproducible data operations.</li>
<li>Implement robust monitoring, observability, and performance tracking for AI-supporting data systems.</li>
</ul><h2 class="jobSectionHeader"><b>Training &amp; Support</b></h2>
<ul><li>Provide training and technical support to military personnel to ensure effective adoption and utilization of AI technologies.</li>
<li>Document integration architecture, processes, and operational dependencies, to include data structures, transformation logic, data lineage, pipeline workflows, and operational procedures.</li>
</ul><h2 class="jobSectionHeader"><b>Compliance &amp; Security</b></h2>
<ul><li>Ensure compliance with military security, privacy and governance standards for AI-supporting data systems.</li>
<li>Ensure processes and procedures leverage changes in data engineering and AI/ML governance best practices.</li>
</ul>
<p><b>Required Skills, Experience &amp; Education</b></p>
<p>
Security</p>
<ul>
<li>Active TS security clearance and eligible for SCI and NATO read-on prior to starting work</li>
<li>Meet all requirements to receive a privileged user account on a TS/SCI information system (e.g. Army Cloud Computing Service Provider) prior to starting work. The requirements are currently defined in DoDD 8140.01.</li>
<li>Security+ or related DoDD 8140-relevant certification.</li>
</ul>
<p>Education and Experience</p>
<ul>
<li>Master's degree in Computer Science, Data Science, Engineering, or a related technical field and 3+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity, or</li>
<li>Bachelor's Degree and in Computer Science, Data Science, Engineering, or a related technical field and 7+ years of experience in data engineering or large-scale data processing in an AI/ML-supporting capacity.</li>
</ul>
<p>Technical Expertise</p>
<ul>
<li>Hands-on experience with data engineering or large-scale data processing.</li>
<li>Experience with programming and/or scripting languages (e.g., Python, SQL, Bash).</li>
<li>Familiarity with cloud platforms, data storage systems, and workflow orchestration tools.</li>
<li>Understanding of containerization and CI/CD principles.</li>
</ul>
<p>National Security Operations Knowledge</p>
<ul>
<li>Familiarity with military operations, intelligence workflows, and digital platforms.</li>
<li>Ability to work within the constraints of military security and compliance standards.</li>
</ul>
<p>Problem-Solving &amp; Communication</p>
<ul>
<li>Able to work closely with model developers, analysis, and platform engineers to understand data requirements and operational context.</li>
<li>Strong problem-definition and solution-development skills to troubleshoot and optimize data operations in support of AI/ML systems.</li>
<li>Excellent communication and interpersonal skills for effective collaboration with diverse teams.</li>
<li>Support new team member onboarding and assist with training materials as needed.</li>
</ul>
<p><b>Desired Skills/Experience</b></p>
<ul>
<li>Background in data privacy, ethical AI deployment, or regulated industries</li>
<li>AWS Certified Security &ndash; Specialty or equivalent cloud certifications.</li></ul><br>
<p></p>
<p>
Application Deadline: April 30, 2026</p>
<p>
#CJPOST</p>
<p>
#LI-onsite</p><p></p><div><br>
<p>
At SMX&reg;, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.</p>
<p>
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.</p>
<p>
SMX is an Equal Opportunity employer including disabilities and veterans.</p>
<p></p>
<div></div><p>Selected applicant may be subject to a background investigation and/or education verification.</p>
<p>
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</p></div></div>

Data Engineer (AI) Senior Engineer (5143) (TS/SCI) (Ft. Belvoir, VA - Nolan Bldg)

Atlas Roofing Corporation

<div><p><b>Job Title:</b> Data Engineer Co-op
<br>
<b>Location:</b> Meridian, MS
<br>
<b>Duration:</b> One term Co-op starting in July 2026
<br>
<b>Department:</b> Engineering / Operations
<br>
<b>Reports To:</b> Nicki Vaughn, Plant Manager
</p><p></p><p>We are seeking a skilled <b>Data Engineer Intern</b> for our <b>Meridian, MS, Web Technologies plant</b> with strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, and maintaining data pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration&mdash;particularly within industrial or manufacturing environments.
</p><p><b>Data Engineer Co-op Key Responsibilities</b>
</p><ul><li>Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases.
</li><li>Build and maintain data pipelines that integrate machine learning outputs into operational systems.</li>
<li>Develop and maintain Ignition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems.
</li><li>Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions.
</li><li>Write, optimize, and maintain complex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases.
</li><li>Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure.
</li><li>Ensure data quality, performance, and reliability across databases and analytics platforms.
</li></ul><p><b>Data Engineer Co-op</b> <b>Required Skills &amp; Qualifications</b>
</p><ul><li>Second-semester freshman standing or higher
</li><li>2 GPA or higher
</li></ul><p><b>Machine Learning &amp; Analytics</b>
</p><ul><li>Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li>
<li>Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).</li>
<li>Ability to deploy machine learning models into production environments.</li>
</ul>
<p><b>Automation &amp; Ignition</b>
</p><ul><li>Hands-on experience with Ignition (Inductive Automation), including scripting and automation.</li>
<li>Proficiency in Ignition scripting using Python (Jython).
</li><li>Experience in integrating Ignition with databases and external systems.</li>
</ul>
<p><b>Programming &amp; Databases</b>
</p><ul><li>Strong proficiency in Python for data processing, automation, and machine learning.</li>
<li>Experience using R for statistical analysis and data visualization.</li>
<li>Advanced SQL skills with MS SQL and Oracle SQL.
</li><li>Solid understanding of relational database design, data modeling, and performance tuning.</li>
</ul>
<p><b>Data Engineer Co-op Preferred Qualifications</b>
</p><ul><li>Experience in industrial, manufacturing, or automation-focused environments.
</li><li>Familiarity with SCADA systems and operational technology (OT) data.</li>
<li>Experience integrating analytics or machine learning solutions into real-time systems.
</li></ul><p><b>What We Offer</b>
</p><ul><li>Opportunity to work on data-driven automation and machine learning solutions.</li>
<li>Collaborative, cross-functional work environment
</li><li>Exposure to cutting-edge industrial analytics and automation technologies
</li></ul><p><b>Atlas Total Compensation</b>
</p><ul><li>Hourly Wages
</li><li>Second Semester Freshman: $18-19/hr.
</li><li>Sophomore: $19-21/hr.
</li><li>Jr: $20-23/hr.
</li><li>Senior: $21-25/hr.
</li><li>Housing Assistance Provided
</li></ul><p><b>Resume Submittal</b>
</p><ul><li>Interested? To submit your resume, scan below.</li></ul></div><p></p>

Data Engineer Co-op

PMAT Inc.

<div><p><b>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered.</b></p><p></p><p><b><br>
About Us:</b> PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit.</p><p></p><p><br>
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter.</p><p></p><p><br>
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology!</p><p></p><p><b><br>
About the Role:</b> PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.</p><p></p><p><b><br>
Responsibilities:</b></p>
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul><br>
<p></p>
<p><b>
Required Skills and Experience:</b></p>
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul><br>
<p></p>
<p><b>
Preferred Skills and Experience:</b></p>
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul><br>
<p></p>
<p><b>
Education and Certification Requirements:</b></p>
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul><br>
<p></p>
<p><b>
Citizenship and Clearance Requirements:</b></p>
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required<br>
</li>
<li>Active DOD TS SCI preferred</li></ul><br>
<p></p>
<p><b>
Location:</b></p>
<ul>
<li>On site, 1ST SPACE BRIGADE, FORT CARSON, CO</li></ul><br>
<p></p>
<p><b>
Travel:</b></p>
<ul>
<li>Travel required up to 15%</li></ul><br>
<p></p>
<p><b>
Work Environment: </b>PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution.</p><p></p><p><br>
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.</p>
<p>
#CJ</p></div>

Senior Machine Learning Engineer (Op AI) - TS clearance - Fort Carson, CO

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