Source Job

US

  • Design, build, and validate machine learning models for RF emitter identification.
  • Conduct hands-on exploratory data analysis on RF sensor datasets using Python.
  • Implement and maintain ML data pipelines on constrained edge hardware.

Python PyTorch Deep Learning Machine Learning

4 jobs similar to AI/ML Engineer, Senior

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US

  • Lead production software development for a passive RF emitter identification and network analysis pipeline using real-time sensor data.
  • Own architecture, implementation, and delivery of a stream ingestion, rollup, and post-processing system operating in dense, contested RF environments.
  • Manage a small team of senior engineers, coordinate with technical leads and AI/ML researchers to transition prototypes to production-quality components.

Global InfoTek Inc. designs, develops, and deploys technologies addressing national cyber and advanced technology needs. For over two decades, GITI has merged pioneering technologies, operational effectiveness, and best business practices.

US Unlimited PTO

  • Develop and implement data algorithms and machine learning models for biometric data analysis.
  • Clean and preprocess raw physiological data and apply feature extraction techniques.
  • Create data visualizations and dashboards to present results to stakeholders.

VivoSense is a science and technology company specializing in digital health technologies, including wearable sensors and connected monitoring tools. As a small company, they offer direct access to senior leadership and a fast-paced environment with a focus on rigorous scientific and analytic expertise.

Europe

  • Design and develop machine learning models for localization workflows, including machine translation and LLM finetuning.
  • Implement and optimize models using Python, TensorFlow, and deploy via Docker and AWS services.
  • Evaluate and select ML techniques, perform statistical analysis, and maintain clear documentation.

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure with a network of over 500,000 linguists and domain experts, backed by seven ISO certifications.

US Unlimited PTO

  • Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
  • Orchestrating and automating complex data engineering and analytic pipelines
  • Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork

Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.