Full-Time

Machine Learning Engineer

Posted on 1/29/2025

INflow Federal

INflow Federal

11-50 employees

No salary listed

Mid, Senior

No H1B Sponsorship

Springfield, VA, USA

US Citizenship, US Top Secret Clearance Required

Category
Applied Machine Learning
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Blender
Tensorflow
Git
Keras
Pytorch
Machine Learning
Docker
AWS
C/C++
Computer Vision
Google Cloud Platform
Requirements
  • Experience in Machine Learning related field, preferably Computer Vision
  • In-depth knowledge of image processing, statistical modeling, advanced mathematics, data integration concepts and tools
  • Strong organizational, analytical, critical thinking and leadership skills
  • Demonstrated leadership on mid-large-scale project impacting strategic partners
  • Background in Machine Learning frameworks such as PyTorch, TensorFlow, SparkML or Keras, Scikit Learn
  • Proficiency in Python or an equivalent language
  • Knowledge of C++ or equivalent object-oriented language
  • Experience with at least one cloud provider (AWS, Azure, GCP)
  • Experience with CI/CD and containerization tools (e.g. Docker, Singularity, github/GitLab) and best practices
  • Experience with Blender
  • Must have a minimum of a DoD TS/SCI clearance
Responsibilities
  • Design and execute experiments for general detector performance in overhead imagery.
  • Implement and evaluate new network architectures/approaches from literature as necessary to maintain strong baseline performance.
  • Create custom deep neural network components and new performance metrics as needed.
  • Occasionally write custom network components, evaluation metrics, etc. in C++
  • Maintain containerized execution environments for experiments across compute architectures and domains using Docker and Singularity.
  • Occasionally work to deploy models created by the team on various partner platforms for evaluation and feedback.
  • Build and maintain production ready ML pipelines
  • Build and maintain a production-ready platform to run models in parallel and A/B test
  • Prepare and preprocess data in collaboration with the data engineering team
Desired Qualifications
  • Masters Degree Preferred
  • PhD Preferred
  • Research Experience Preferred

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Leesburg, Virginia

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for cybersecurity solutions in federal agencies boosts INflow Federal's market potential.
  • Expansion of 5G networks creates opportunities for INflow Federal's secure communication solutions.
  • Rising investments in cloud computing by federal agencies benefit INflow Federal's services.

What critics are saying

  • Increased competition from local tech firms in Ashburn may impact market share.
  • Rising real estate costs in Ashburn could increase operational expenses for INflow Federal.
  • The competitive talent pool in Ashburn may lead to hiring and retention challenges.

What makes INflow Federal unique

  • INflow Federal specializes in secure communication solutions for government infrastructure.
  • The company focuses on AI-driven data analytics for defense sector decision-making.
  • INflow Federal offers IT consulting for digital transformation in public sector services.

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Benefits

Professional Development Budget

Family Planning Benefits

Mental Health Support

Company News

CityBiz
Jun 2nd, 2024
INflow Federal Relocates to New Offices in Ashburn, VA

INflow Federal relocates to new offices in Ashburn, VA.

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