AI/ML Engineer, Software Development - Noke

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    "description": "<h2>Overview</h2>\n<p>The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine‑learning solutions that enhance customer interactions, automate decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data‑driven insights, and automation frameworks in collaboration with cross‑functional engineering, product, and support teams.</p>\n<h2>Responsibilities</h2>\n<p><strong>AI‑Driven Interactions & Automation</strong></p>\n<ul>\n <li>Design and implement AI‑powered conversational flows and automated decisioning logic.</li>\n <li>Build secure data integrations to enable real‑time processing and intelligent responses.</li>\n <li>Optimize large language model (LLM) workflows for accuracy, performance, and usability.</li>\n</ul>\n<p><strong> </strong><strong>Data Analytics & Predictive Modeling</strong></p>\n<ul>\n <li>Apply machine learning techniques to structured and unstructured data from various systems.</li>\n <li>Develop predictive models to identify trends, detect anomalies, and support proactive decision‑making.</li>\n <li>Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.</li>\n</ul>\n<p><strong> </strong><strong>Real‑Time Intelligence for Internal Teams</strong></p>\n<ul>\n <li>Integrate AI‑driven insights into internal tools to support agents and operations teams.</li>\n <li>Deliver real‑time recommendations, next‑best‑actions, and contextual guidance based on combined system and interaction data.</li>\n <li>Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.</li>\n</ul>\n<p><strong> </strong><strong>Automated Workflows & Operational Safety</strong></p>\n<ul>\n <li>Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.</li>\n <li>Ensure all automated actions adhere to defined compliance, authorization, and security rules.</li>\n <li>Develop dashboards and reporting tools for system health, workflow performance, and model metrics.</li>\n</ul>\n<h2>Qualifications</h2>\n<p><strong>JOB REQUIREMENTS:</strong></p>\n<p><strong> </strong></p>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n <li>3+ years of experience in AI/ML engineering, data science, or intelligent automation.</li>\n <li>3+ years of hands‑on experience with modern cloud platforms including compute, data, and AI services.</li>\n <li>3+ years of proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.</li>\n <li>Experience building real‑time, streaming, or event‑driven data pipelines.</li>\n <li>Proven track record of designing, deploying, and maintaining production‑grade ML systems.</li>\n <li>Knowledge of APIs, microservices, and secure integration patterns.</li>\n</ul>\n<p><strong> </strong><strong>Preferred Qualifications</strong></p>\n<ul>\n <li>3+ years of Experience with IoT, device telemetry, or distributed sensor data systems.</li>\n <li>3+ years of Background in LLM tuning, retrieval‑augmented generation (RAG), and conversational AI.</li>\n <li>Familiarity with contact center platforms or enterprise workflow automation systems.</li>\n <li>Understanding of authentication, authorization, and access‑control frameworks.</li>\n</ul>\n<p> <strong>PHYSICAL DEMANDS:</strong></p>\n<ul>\n <li>Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.</li>\n</ul>",
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