Machine Learning Engineer

at  INflow Federal

Springfield, Virginia, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Oct, 2024Not Specified31 Jul, 20242 year(s) or aboveScanning,Segmentation,Object Detection,Cuda,Gitlab,Neural Networks,Operators,Numpy,Python,Satellite Imagery,Hub,KubernetesNoNo
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Description:

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 CLEARANCE

  • Bachelors or Masters Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.2+ years experience

  • 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

How To Apply:

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Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Lieu of degree.2 years experience

Proficient

1

Springfield, VA, USA