MLOps Engineer

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.

Key Responsibilities:

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.

What You'll Do:

Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.

Implement 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.

Requirements:

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.

About Us:

Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people. The 'INflow difference' lies in our profound appreciation of employee culture, fueling an obsession with the well-being and professional growth of our team. This employee-centric ethos has been pivotal to our enduring success, directly translating into significant benefits for our customers.

Our identity is greatly influenced by the contributions of US Military Veterans. INflow's Veteran Outreach Program, dedicated to recruiting transitioning military personnel, has been a resounding success. Veterans now represent over 50% of our workforce, bringing invaluable experience and insight that have been crucial in steering our customers' success.

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.

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.

Citizenship Requirements:

INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.

Equal Opportunity Employer:

INflow 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.

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