AI​/ML Engineer

We are seeking an AI/ML Engineer to design, develop, and deploy scalable artificial intelligence and machine learning solutions that enhance customer interactions, automate decision‑making, and improve operational efficiency. In this role, you will build intelligent workflows, predictive models, automation frameworks, and real‑time insights in partnership with engineering, product, and support teams.

• Design and implement AI‑powered conversational flows and automated decision‑making logic.
• Build secure data integrations that support 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 datasets from multiple systems.
• Develop predictive models to identify trends, detect anomalies, and support proactive decisions.
• Create monitoring and alerting mechanisms to ensure timely detection, diagnosis, and escalation of issues.
• Integrate AI‑driven insights into internal tools for agents and operations teams.
• Deliver real‑time recommendations, next‑best‑actions, and contextual guidance based on system and interaction data.
• Improve employee productivity with intelligent assistance and dynamic knowledge retrieval.

• Develop diagnostic and remediation automation with built‑in safety, governance, and audit controls.
• Ensure automated actions adhere to compliance, authorization, and security guidelines.
• Build dashboards and reporting tools for system health, workflow performance, and model metrics.

• 3+ years of experience in AI/ML engineering, data science, or intelligent automation.
• 3+ years working with modern cloud platforms (compute, data, and AI services).
• 3+ years of hands‑on Python experience, including ML frameworks such as Tensor Flow, PyTorch, or scikit‑learn.
• Proven track record of deploying and maintaining production‑grade ML systems.
• Strong understanding of APIs, microservices, and secure integration best practices.

• Experience working with IoT ecosystems, device telemetry, or distributed sensor data.
• 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.