AI/ML Engineer

Overview


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.


Responsibilities


AI-Driven Interactions & Automation

• 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.

Data Analytics & Predictive Modeling

• 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.

Real-Time Intelligence for Internal Teams

• 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.

Automated Workflows & Operational Safety

• 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.

Qualifications


JOB REQUIREMENTS:

Minimum Qualifications

• 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 TensorFlow, 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.

Preferred Qualifications

• 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.

PHYSICAL DEMANDS:

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.