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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML Engineer - **Company:** bluestone Solutions Group - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Build Automation, Continuous Integration, Memory Management, Monitoring of Systems, Python (Programming Language), NumPy, OpenCV, SciPy, Software Deployment, Computational Statistics, Data Streaming, Large Language Models, Grafana, Backend, Rate Limiting, Templating, Kubernetes, Production Code, Real Time Data, Machine Learning Operations, Front End Software Development, Artificial Intelligence Markup Language (AIML), Dynatrace, Docker - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/819281f5-69e9-41a2-8418-3fa899592ec8 ## About the Role * 6+ years in Infrastructure/SRE, Core Platform Engineering, MLOps, Vision/Edge Platform Engineering, or high-throughput data/backend systems. * Experience delivering and supporting production systems with strict performance, reliability, and availability requirements. Python & Backend * Expert-level production Python skills. * Strong understanding of memory management, concurrency, and profiling in Python. Containers, Kubernetes & CI/CD * Deep experience with Docker and Kubernetes. * Practical experience with Helm for templating and deploying applications. * Hands-on experience with CI/CD tools for automated builds, tests, deployments, and rollbacks. Streaming & Vision * Hands-on experience ingesting and processing industrial camera/video streams. * Strong proficiency with OpenCV and image/matrix operations. Numerical & Statistical Skills * Advanced proficiency with NumPy and SciPy. * Experience implementing statistical techniques in production pipelines. Performance, Testing & Observability * Proven use of load and stress testing tools for data-heavy or streaming APIs. * Experience with observability tools and concepts. Collaboration & Ways of Working * Experience working as part of a cross-functional engineering team. * Strong communication skills for documenting designs, APIs, diagnostics, and test results. * Ability to work in an iterative environment with clear deliverables, reviews, and handoffs., * Experience with industrial IoT, manufacturing environments, or other edge/plant-floor systems. * Background in automated rollback, closed-loop control, or other remediation/alerting frameworks. * Familiarity with modern AI/ML or LLM/agent systems from an infrastructure or performance perspective. ## Description This role focuses on the design, implementation, and operation of high-throughput, real-time AI and computer vision systems in a manufacturing environment. The AI ML Engineer will work on distributed Python services, real-time data/vision streaming, performance engineering, observability, and automated remediation. This position collaborates closely with cross-functional engineering teams to help deliver reliable, secure, and scalable production systems., * Design and implement backend services using Python for high-concurrency, low-latency workloads. * Configure and maintain containerized services deployed on Kubernetes using Helm. * Tune resource limits/requests, autoscaling, and networking for stateful and streaming workloads. * Implement secure deployment patterns using enterprise registries and CI/CD pipelines. Real-Time Data & Vision Streaming * Build and maintain ingestion services for real-time data streams, including industrial video protocols. * Integrate multi-camera and multi-stream inputs into Python backends for monitoring, diagnostics, and analytics. * Optimize streaming, buffering, and processing behavior to meet strict latency targets. Numerical & Statistical Computing * Implement and optimize matrix-heavy and numerical workloads using NumPy, SciPy, and OpenCV. * Translate statistical methods into robust, production-grade code. * Design calculations to distinguish normal process variation from true degradation or drift in data and signals. Automated Remediation & Diagnostics * Implement backend decision logic to separate software-correctable issues from physical or environmental issues. * Develop automation scripts and workflows for programmatic fixes. * Generate precise diagnostic payloads for maintenance and operations teams., * Design and run load, stress, and soak tests that include high-FPS streams, bursty workloads, and multi-session interactions. * Implement and tune rate limiting, request throttling, queuing, and back-pressure strategies. * Apply resiliency patterns for failed or partial executions. Observability & Monitoring * Configure and extend observability stacks for metrics, logs, and distributed tracing. * Enable visualization and inspection of complex execution graphs and data flows. * Contribute to definition and tracking of SLOs/SLIs around system health. APIs & Integration * Expose clean, stable APIs and schemas for downstream consumers. * Provide diagnostic outputs to support operator-facing tools. * Collaborate with frontend and integration teams to ensure APIs are well-documented, versioned, and testable. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Vectorize all the things! 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