What are the responsibilities and job description for the AI/ML Engineer - Hybrid position at Eiden Systems Consulting?
Eiden Systems Consulting is seeking a talented AI/ML Engineer to design, build, test, and deploy AI models for pattern recognition and object detection on warfighter-centric systems. This role supports mission-critical solutions and focuses on deploying and validating AI/ML models in real-world, field-tested environments.
The ideal candidate has hands-on experience adapting models to new datasets, deploying solutions on edge-focused devices, and validating performance during live field testing. Candidates with experience in RF signal analysis and signal pattern recognition are especially encouraged to apply.
Key Responsibilities
PAY TRANSPARENCY NONDISCRIMINATION PROVISION
Eiden Systems Consulting (ESC) is an equal opportunity employer and is committed to creating an inclusive and respectful workplace. ESC does not discriminate against any employee or applicant based on age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any other classification protected by federal, state, or local law.
In accordance with 41 CFR 60-1.35(c), ESC will not discharge or otherwise discriminate against employees or applicants for discussing, disclosing, or inquiring about their own pay or the pay of another employee or applicant. However, employees who have access to compensation information as part of their essential job functions may not disclose the pay of others to individuals who do not have authorized access—unless such disclosure is made (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or legal action (including those conducted by ESC), or (c) as otherwise required by law.
NO THIRD PARTIES
The ideal candidate has hands-on experience adapting models to new datasets, deploying solutions on edge-focused devices, and validating performance during live field testing. Candidates with experience in RF signal analysis and signal pattern recognition are especially encouraged to apply.
Key Responsibilities
- Design, train, test, and deploy AI/ML models for pattern recognition and object detection
- Adapt existing models to new and evolving datasets
- Deploy and optimize models for edge-based and resource-constrained platforms
- Build and maintain pipelines for high-bandwidth I/Q data ingestion and preprocessing
- Conduct live field testing and performance validation of deployed models
- Collaborate with cross-functional engineering teams using modern CI/CD workflows
- 3 years of experience in a technical role involving machine learning (experience with time-series or RF data is a plus)
- Proficiency in PyTorch or TensorFlow for deep learning model development and deployment
- Advanced programming experience in Python (NumPy, SciPy, Pandas) and C/C
- Experience building pipelines for high-bandwidth I/Q data ingestion and preprocessing
- Familiarity with CUDA or TensorRT for real-time inference on edge devices
- Proficiency with GitLab or GitHub for collaborative development and CI/CD integration
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related technical field
- Active Top Secret clearance (SCI is a nice to have)
- Strong understanding of RF fundamentals, modulation schemes (BPSK, QAM, etc.), and spectrum sensing
- Experience with Digital Signal Processing (DSP), including FFTs, wavelet transforms, and digital filtering
- Hands-on experience integrating ML models with Software Defined Radios (SDRs) such as USRPs or BladeRF
- Experience with model quantization and pruning for deployment in resource-constrained or air-gapped environments
PAY TRANSPARENCY NONDISCRIMINATION PROVISION
Eiden Systems Consulting (ESC) is an equal opportunity employer and is committed to creating an inclusive and respectful workplace. ESC does not discriminate against any employee or applicant based on age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any other classification protected by federal, state, or local law.
In accordance with 41 CFR 60-1.35(c), ESC will not discharge or otherwise discriminate against employees or applicants for discussing, disclosing, or inquiring about their own pay or the pay of another employee or applicant. However, employees who have access to compensation information as part of their essential job functions may not disclose the pay of others to individuals who do not have authorized access—unless such disclosure is made (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or legal action (including those conducted by ESC), or (c) as otherwise required by law.
NO THIRD PARTIES