Sr ML Engineer

Inflow Federal; Springfield (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

INflow Federal is seeking a Machine Learning Engineer to advance DoD AI/ML initiatives. You will prototype containerized CV/VLM solutions and drive data modernization, cyber resilience, and secure data workflows.

You will fine-tune models, accelerate inference on GPUs, and ship secure Python applications with CI/CD, collaborating with a skilled team across geospatial datasets and imagery tasks.

Qualifications

• 6+ years of experience in ML/AI roles with DoD-relevant domains.
• Proven ability to fine-tune foundation models for segmentation and detection on large datasets.
• Experience building secure containerized Python apps with automated CI/CD pipelines.
• Strong Python skills with data processing, ML tooling, and cloud data access.

Responsibilities

• Prototype containerized AI/ML solutions using CV and VLM to support DoD missions.
• Develop end-to-end pipelines, from data ingestion to model deployment and monitoring.
• Collaborate with stakeholders to translate results into actionable intelligence insights.

Skills

Transfer learning

Model fine-tuning

PyTorch

TensorFlow

CI/CD automation

CUDA

Containerization

Python

S3 data access

Education

Bachelor's or Master's in Computer Science / AI / Data Science

Tools

Docker

Kubernetes

OpenShift

GitLab

Boto3

NumPy

Job description

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 Machine Learning Engineer 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.

Rapidly prototype containerized solutions using state-of-the-art Computer Vision (CV) and Vision Language Models (VLM) to enhance analytic workflows and solve key intelligence challenges. You'll work with diverse geospatial datasets, from satellite imagery to full-motion video, driving innovations in image retrieval, segmentation, object detection, and visual question answering.

What You’ll Bring:

• Expertise in transfer learning, model fine-tuning, and deep learning frameworks like PyTorch and TensorFlow.
• Proven skills in building secure, containerized Python applications with CI/CD automation.
• Experience in GPU acceleration with CUDA.
• Familiarity with HuggingFace, Kubernetes, OpenShift, and more.

Why Join Us?

Be at the cutting edge of AI, where your contributions will directly impact intelligence workflows and decision-making processes. Work in a dynamic, fast-paced environment with a team of forward-thinkers and innovators.

Required Qualifications

• Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U‑Net for object detection or segmentation tasks using satellite imagery.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing.

Desired Qualifications

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Open Neural Net Exchange (ONNX).

Required Experience

• Bachelors or Masters Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• 6+ years experience

Required Clearance

• Active DoD TS/SCI

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.

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 Requirements

INflow 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 Inclusion

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.