MLOps Engineer ♾️
Springfield, VA
Full Time Clearance required USD 123K - 228K *
INflow Federal
At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team!
ABOUT THIS POSITION:
As a DevOps Engineer supporting Machine Learning initiatives at INflow Federal, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.
In this role, you will rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.
As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations. Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces.
In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership’s transparent communication and unwavering commitment to integrity. Our customers value partnering with INflow for our agility, passion, and integrity.
Fueling INflow’s continuous evolution is our voracious appetite for researching and integrating AI/ML technologies. We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows. This not only improves their operational efficiency but also deepens their understanding of AI/ML’s transformative potential.
As we progress, our focus remains steadfast on developing our people so they can lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights.
Citizenship RequirementsINflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.
Other Notes- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer.Other: - Candidate must have the ability to lift up to 50 lbs. Must have willingness to perform duties not listed in the job description as required by INflow and our customer.
Equal Opportunity Employer Diversity and InclusionINflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.
ABOUT THIS POSITION:
As a DevOps Engineer supporting Machine Learning initiatives at INflow Federal, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.
In this role, you will rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.
Duties & Responsibilities
- Automate and optimize service deployments
- Integrate with enterprise authentication services
- Establish and Improve system monitoring while maintaining established security protocols within development, test, and production systems.
- Build, test, and maintain custom Helm Charts using Gitlab and ArgoCD
- Build, test, and maintain custom OpenShift Operators
- Maintain and improve existing build and deployment processes using Gitlab CI/CD pipelines to create complex ci-templates and custom runners.
- Apply configuration management disciplines to maintain Container software revisions, security patches, hardening, and documentation
- Create FIPS compliant and hardened custom container images using UBI9-minimal and UBI9-micro base images.
- Maintain up to date documentation of designs/configurations, ensuring team members have continuity of recurring tasks
- Create and determine required metrics for dashboards and service health
- Follow up on engineering tasks for operational solutions, and validate completion
Qualifications
- Understanding of Python, Bash, or other scripting languages to automate builds
- Knowledge of the Operator Framework and how operators are deployed
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
- Must possess excellent time management skills and the drive to work unsupervised
- Experience with deploying to on prem/data center infrastructure
- Experience using Jira and Confluence on a daily basis
- 3+ years of Kubernetes experience, preferably with OpenShift
- 3+ years of experience building custom container images and platforms
- Strong understanding of DevOps and software/application development processes
- 3+ years of experience building GitLab CI/CD pipelines to build, scan, and deploy custom container images
- 3+ years of experience using Helm and GitOps tools such as ArgoCD or Flux to manage application deployment and state within Kubernetes from Gitlab
- 5+ years IT experience
- Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
Clearance Requirements
- Active DoD TS/SCI
As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations. Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces.
In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership’s transparent communication and unwavering commitment to integrity. Our customers value partnering with INflow for our agility, passion, and integrity.
Fueling INflow’s continuous evolution is our voracious appetite for researching and integrating AI/ML technologies. We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows. This not only improves their operational efficiency but also deepens their understanding of AI/ML’s transformative potential.
As we progress, our focus remains steadfast on developing our people so they can lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights.
Citizenship RequirementsINflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.
Other Notes- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer.Other: - Candidate must have the ability to lift up to 50 lbs. Must have willingness to perform duties not listed in the job description as required by INflow and our customer.
Equal Opportunity Employer Diversity and InclusionINflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
MLOps Jobs
Tags: CI/CD Computer Vision Confluence CX Data management Data pipelines Deep Learning DevOps Driver’s license Engineering GitLab Helm Jira Kubernetes Machine Learning MLOps Pipelines Python Security
Perks/benefits: Career development Health care
Region:
North America
Country:
United States
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