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.