AI​/ML Engineer

Job Description

• Design and implement AI powered conversational flows and automated decisioning logic.
• Build secure data integrations to enable real time processing and intelligent responses.
• Optimize large language model (LLM) workflows for accuracy, performance, and usability.

• Apply machine learning techniques to structured and unstructured data from various systems.
• Develop predictive models to identify trends, detect anomalies, and support proactive decision making.
• Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.

• Integrate AI driven insights into internal tools to support agents and operations teams.
• Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.
• Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.

• Build diagnostic and remediation automation with appropriate safety, governance, and auditability controls.
• Ensure all automated actions adhere to defined compliance, authorization, and security rules.
• Develop dashboards and reporting tools for system health, workflow performance, and model metrics.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 3+ years of experience in AI/ML engineering, data science, or intelligent automation.
• 3+ years of hands on experience with modern cloud platforms including compute, data, and AI services.
• 3+ years of proficiency in Python and ML frameworks such as Tensor Flow, PyTorch, or scikit learn.
• Experience building real time, streaming, or event driven data pipelines.
• Proven track record of designing, deploying, and maintaining production grade ML systems.
• Knowledge of APIs, microservices, and secure integration patterns. 3+ years of Experience with IoT, device telemetry, or distributed sensor data systems.
• 3+ years of Background in LLM tuning, retrieval augmented generation (RAG), and conversational AI.
• Familiarity with contact center platforms or enterprise workflow automation systems.
• Understanding of authentication, authorization, and access control frameworks.