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Senior AI/ML Engineer
Global InfoTek, Inc.Senior AI/ML Engineer responsible for machine learning model development at Global InfoTek. Collaborating with teams to analyze RF sensor data and implement ML pipelines for real-time applications.
Tech Stack
Tools & technologiesCloudLinuxNumpyPandasPythonPyTorchScikit-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
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 🔥 3 hours ago ⚔️ Virginia – Remote 💵 $150 - $200 / hour ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer Cloud Linux Numpy Pandas Python PyTorch Scikit-Learn Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter 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 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 Oracle ERP Developer 🕒 2 days ago OmegaHires 11 - 50 🎯 Recruiter 🏢 Enterprise Website LinkedIn All Job Openings Oracle ERP AI Developer responsible for developing AI-driven solutions for Oracle ERP applications. Collaborating with teams to design integrations and ensure security for AI systems. 🇺🇸 United States – Remote 💵 $50 - $120 / hour ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud ERP Oracle Oracle ERP AI Engineer 🕒 3 days ago NOVALINK SOLUTIONS LLC 51 - 200 📡 Telecommunications Website LinkedIn All Job Openings AI Engineer developing AI solutions primarily using Python and Azure services. Collaborating with the Connecticut AI Lab on state government projects. 🇺🇸 United States – Remote ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Azure Cloud Python Vault Senior AI Engineer 🕒 5 days ago ChainGPT 51 - 200 🤖 Artificial Intelligence ₿ Crypto 🌐 Web 3 Website LinkedIn All Job Openings Senior AI Engineer at ChainGPT developing AI-native products for blockchain and intelligent automation. Collaborating closely with founders and senior team on high-impact features and architecture decisions. 🇺🇸 United States – Remote ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer AI Governance Lead 🕒 6 days ago First San Francisco Partners 11 - 50 🤖 Artificial Intelligence Website LinkedIn All Job Openings Governance leader defining AI usage policies and accountability frameworks for enterprise clients. Collaborating with stakeholders and managing high-visibility team engagements. 🇺🇸 United States – Remote 💵 $100 - $125 / hour ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer AI/ML Engineer – Contract 🕒 June 24 Vividion Therapeutics. Inc. 51 - 200 Website LinkedIn All Job Openings AI/ML Engineer designing, developing, and deploying AI systems for Vividion Therapeutics. Collaborating with scientists to optimize data pipelines and improve ML infrastructure 🇺🇸 United States – Remote 💵 $60 - $85 / hour 💰 $135M Series C on 2021-02 ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud Distributed Systems Python SQL View More AI 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 ProcessingDeep LearningMetric LearningSiamese NetworksData ManipulationModel EvaluationFeature EngineeringExploratory Data Analysis
Soft Skills
CollaborationTechnical DocumentationProblem Solving