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Sr MLOps Engineer
INflow FederalSpringfield, United Statesfull_timeVerifiedPosted 30 Jul 2024
About the role
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.
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
- 8+ years 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
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