Deployment Engineer

About the Role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting‑edge AI, we want to hear from you. Join our dynamic AI Engineering team as we deliver disruptive edge‑compute systems capable of autonomous learning, prediction, and adaptation using vast, real‑time datasets. We are pioneers in developing high‑performance computing solutions for self‑driving cars, camera networks, robotics, drones, conversational agents, and real‑time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process. Location This role is office‑based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state‑of‑the‑art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on‑premise environments. Required Qualifications BS or MS degree in computer science, computational science/engineering, or related technical field (or equivalent experience). 3+ years of work‑related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands‑on expertise with traditional statistical machine learning techniques as well as deep‑learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands‑on expertise in machine learning techniques and algorithms with a strong background in state‑of‑the‑art DNN architectures (Transformers, CNN, R‑CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc.). Experience with solving and using machine learning for real‑world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real‑time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time‑management and organization skills to thrive in a fast‑paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. based candidates: To ensure fairness and transparency, the starting base salary range for this role is $154,560—$193,200 USD, varying based on location, experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 14 paid company holidays per year You're a Great Fit if You're A go‑getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge. A detail‑oriented problem‑solver. You can independently gather information, solve problems efficiently, and deliver results with a "get‑it‑done" attitude. Thrive in a fast‑paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company. A collaborative team player. You focus on business success and are motivated by team accomplishment over personal agenda. Highly organized and results‑driven. Strong prioritization skills and a dedicated work ethic are essential for you. Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. #J-18808-Ljbffr AI Chopping Block, Inc.