Edge AI Engineer — Production-Ready Vision & Models

Armada; Bellevue (KY); On-site; USD 155,000 - 193,000; Full time

Benefits offered by this job

Competitive base salary and equity

Medical, dental, and vision (subsidzed

HSAs/FSAs and retirement plans

Unlimited PTO

14 paid company holidays per year

Job summary

Armada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world from offshore platforms to autonomous networks. You’ll own substantial portions of the AI lifecycle, from problem definition and data prep to model deployment and production observability.

The strongest candidates combine ML fundamentals with strong software‑engineering judgment, deploying resilient containerized AI services on GPUs across cloud, data-center, and disconnected edge

Qualifications

• Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.
• 3+ years of industry experience in AI research, machine learning, and production software development.
• Strong programming skills in Python and proficiency in Java, C++, or another production language.
• Hands-on experience with statistical ML, deep learning, and NLP.
• Experience with modern neural architectures, including transformers, CNNs, detection models, generative models.
• Proficiency with deep-learning frameworks such as PyTorch, TensorFlow, or JAX.
• Familiarity with containers, version control, automated testing, and modular software design.
• Experience applying ML to real-world problems and deploying models beyond research prototypes.
• Publications/open-source contributions or production systems; NeurIPS/ICML/ICLR/AAAI/CVPR/ICCV valued.

Responsibilities

• Translate operational problems into AI requirements, datasets, and production architectures.
• Design, train, fine-tune, and deploy models for vision, language, multimodal AI, and time-series.
• Apply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.
• Build training and evaluation datasets from video, images, text, telemetry, sensor data, and synthetic data.
• Evaluate models for accuracy, latency, throughput, robustness, safety, and efficiency.
• Optimize inference through quantization, pruning, distillation, batching, caching, and hardware-aware acceleration.
• Build reliable AI services using Python, testing, observability, and automated deployment.
• Deploy containerized AI workloads across Kubernetes, cloud, on-premises, and edge environments.
• Build pipelines for model monitoring, data validation, drift detection, retraining, and controlled updates.
• Partner with customers, product teams, engineers, and domain experts to move prototypes into production.
• Diagnose issues across data pipelines, models, GPUs, orchestration, networking, and apps.
• Contribute reusable models, datasets, evaluation tools, platform components, documentation, patents, and publications.

Skills

Python

Java/C++

ML/DL

NLP

Transformers

PyTorch/TensorFlow/JAX

Containers/MLOps

Publications/Open‑source

Education

Master’s or PhD in a technical field

Tools

PyTorch

TensorFlow

JAX

Kubernetes

Job description

Armada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world from offshore platforms to autonomous networks. You’ll own substantial portions of the AI lifecycle, from problem definition and data prep to model deployment and production observability.

The strongest candidates combine ML fundamentals with strong software‑engineering judgment, deploying resilient containerized AI services on GPUs across cloud, data-center, and disconnected edge