> Markdown version of [/jobs/ext/4546792-mid-level-ai-ml-systems-architect](https://www.wearedevelopers.com/jobs/ext/4546792-mid-level-ai-ml-systems-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level AI/ML Systems Architect - **Company:** Nyla Technology Solutions - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $188,000.0 - $223,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Computer Engineering, Data Distribution Service, Information Engineering, Data Governance, Data Structures, Experimental Data, Python (Programming Language), Machine Learning, Software Architecture, Tensorflow, Software Engineering, Systems Integration, Pytorch, Scikit Learn, Information Technology, Feature Selection, Machine Learning Operations, Data Pipelines, Programming Languages - **Published:** November 3, 2026 - **Apply:** https://www.juju.com/job/15_73ede340 ## About the Role Applied Machine Learning: Demonstrated experience selecting, training, evaluating, and productizing AI/ML models using standard frameworks (e.g., PyTorch, TensorFlow) and ML libraries. Model Lifecycle MLOps: Hands-on experience in pipeline interaction, data modeling, feature selection, model verification/validation, monitoring, and iterative retraining based on feedback loops. Data Engineering Statistical Analysis: Strong capabilities in statistical analysis, detecting data distribution shifts, and converting raw datasets into effective data representations for ML algorithms. Prototype-to-Production Engineering: Proven ability to transform experimental data science prototypes into scalable, performant production systems with proper system integration oversight. Software Foundations Test Protocols: Sound understanding of application development concepts, data structures, software architecture, and running standard test/evaluation protocols. Communication Technical Leadership: Excellent analytical, problem-solving, and presentation skills to serve as a primary POC for AI initiatives and guide cross-functional teams. Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10+ years of professional software engineering experience OR Master's Degree PLUS 5+ years of professional software engineering experience OR High School Diploma / GED, PLUS 15+ years of hands-on technical software development experience in lieu of a degree. , Desired Skills Multi-Language Mastery: Advanced proficiency in multiple programming languages, such as Python, Java, C, C++, or R. Advanced MLOps Infrastructure: Deep familiarity with cloud-based AI deployments, automated model scheduling, data governance, and automated CI/CD pipelines for ML models. ## Description We are seeking a visionary, inventive Artificial Intelligence / Machine Learning (AI/ML) Engineer to design, build, test, and productize advanced models that solve high-stakes challenges. In this role, you won't just train models in isolation-you will transform data science prototypes into production-ready, scalable AI solutions. You will oversee the complete lifecycle: architecting data pipelines, selecting optimal representations, running statistical analyses, and continuously refining models through iterative feedback and retraining loops. As a technical leader and primary subject matter expert, you will guide test and evaluation protocols, evaluate data distribution shifts, and ensure our AI systems deliver accurate, mission-critical predictions at scale.