Senior AI/ML Engineer

Global InfoTek, Inc.

Senior AI/ML Engineer developing machine learning models for RF emitter identification. Supporting R&D in real-time sensor data analysis and ML data pipeline implementation.

Posted 4/30/2026full-timeRemote • Virginia • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudLinuxNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, build, and validate machine learning models for RF emitter identification — including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks — writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
Implement and maintain ML data pipelines — ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention — writing code to characterize error sources, validate assumptions, and reproduce findings
Produce clear technical documentation of experiments, model configurations, and results — maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing

Requirements

What you’ll need

5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
Demonstrated proficiency in Python for ML and data science work — PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
Hands-on experience designing, training, and evaluating deep learning models — particularly metric learning, Siamese networks, or other similarity-learning architectures — on real-world, noisy, imbalanced datasets
Practical experience handling real-world data quality problems — missing values, label noise, class imbalance, systematic bias, and sensor artifacts — and the ability to diagnose and address them without discarding valid data
Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration — optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware
Bachelor’s or Master’s (or equivalent) with 5–7 years of hands-on applied experience.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Global InfoTek, Inc. Website LinkedIn All Job Openings 51 - 200 employees Founded 2001 🔒 Cybersecurity 🤖 Artificial Intelligence 🏛️ Government Cybersecurity
Artificial Intelligence
Government Global InfoTek, Inc. is a company that specializes in delivering cutting-edge national security solutions with a focus on speed, agility, and innovation. They support federal agencies by providing enterprise application development, cloud engineering, cybersecurity solutions, advanced analytics, and data visualization, as well as artificial intelligence and machine learning. Their mission is to equip the national security community with the necessary tools to combat threats and challenges effectively. Global InfoTek is committed to building the careers of top-tier cybersecurity professionals to ensure the nation's security. Senior AI/ML Engineer Job not on LinkedIn 🕒 6 days ago ⚔️ Virginia – Remote 💵 $100k - $300k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Cloud Linux Numpy Pandas Python PyTorch Scikit-Learn Tensorflow Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and validate machine learning models for RF emitter identification — including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks — writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
Implement and maintain ML data pipelines — ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention — writing code to characterize error sources, validate assumptions, and reproduce findings
Produce clear technical documentation of experiments, model configurations, and results — maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing 🎯 Requirements
5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
Demonstrated proficiency in Python for ML and data science work — PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
Hands-on experience designing, training, and evaluating deep learning models — particularly metric learning, Siamese networks, or other similarity-learning architectures — on real-world, noisy, imbalanced datasets
Practical experience handling real-world data quality problems — missing values, label noise, class imbalance, systematic bias, and sensor artifacts — and the ability to diagnose and address them without discarding valid data
Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration — optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware
Bachelor’s or Master’s (or equivalent) with 5–7 years of hands-on applied experience. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior AI/ML Engineer 🕒 6 days ago Sayari 1 - 10 🔬 Science 🤝 B2B Website LinkedIn All Job Openings Senior AI/ML Engineer developing orchestration systems transforming how analysts interact with global risk data. Join a leading data provider in delivering innovative AI solutions. 🇺🇸 United States – Remote 💵 $175k - $195k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer AWS Azure Cloud Google Cloud Platform React AI/ML Engineer, AWS 🕒 6 days ago Reply 10,000+ employees Website LinkedIn All Job Openings Senior Developer building and evolving ML/AI applications and services on AWS. Collaborating with product and engineering teams to deliver reliable solutions that meet customer needs. 🇺🇸 United States – Remote 💵 $120k - $155k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor AWS Python Senior Machine Learning Engineer, Dash Agentic AI 🕒 6 days ago Dropbox 1001 - 5000 🏢 Enterprise ⚡ Productivity Website LinkedIn All Job Openings Senior Machine Learning Engineer at Dropbox designing and building AI agents for user collaboration. Leveraging AI/ML technologies to transform work processes and enhance user productivity. 🇺🇸 United States – Remote 💵 $245.2k - $331.8k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Python PyTorch Go Applied Machine Learning Engineer – All Levels 🕒 April 22 Allstate 10,000+ employees 💸 Finance Website LinkedIn All Job Openings Machine Learning Engineer designing, building, and operating machine-learning models at Allstate. Collaborating across teams and emphasizing innovation in customer experience. 🇺🇸 United States – Remote 💵 $110k - $181k / year 💰 Post-IPO Equity on 2014-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Java Numpy Pandas Python Scikit-Learn SQL Terraform TypeScript Software Development Engineer – MLOps 🕒 April 22 WillHire 51 - 200 Website LinkedIn All Job Openings Software Engineer designing and delivering scalable features for Workday's AI platform. Collaborating with developers and data scientists to innovate on AI solutions. 🇺🇸 United States – Remote 💵 $130.4k - $195.6k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Distributed Systems Docker Grafana Jenkins Kubernetes Microservices Python Terraform View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

machine learningdata scienceRF signal processingPythonPyTorchTensorFlowPandasNumPyscikit-learndeep learning

Soft Skills

collaborationtechnical documentationproblem-solvinganalytical thinkingcommunication

Certifications

Bachelor’s degreeMaster’s degree