Senior AI/ML & IVR Engineer - GCP

Position Overview: As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will wor k closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems. K ey

Responsibilities: Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (Big Query, Vertex AI, Dataflow, Pub/Sub, etc.)Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCPLead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards Must-Have S k ills: Expertise with GCP AI/ML tools (Vertex AI, Big Query ML, K ubeflow, Dataflow, Cloud Functions)Strong coding s k ills in Python and/or Java, with experience in ML framewor k s (Tensor Flow, PyTorch, sci k it-learn)Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)Advanced MLOps: CI/CD, containerization (Doc k er), orchestration ( K ubernetes), monitoring, and automation Data engineering s k ills: ETL/ELT, real-time and batch pipelines Excellent communication, collaboration, and technical leadership abilities Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications Desirable: GCP Professional Certifications (Data Engineer, ML Engineer)Experience with call center, telecom, or enterprise voice automationK nowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)Success in This Role: Reliable, high-performance deployment of AI/ML and IVR solutions on GCPMeasurable improvements in automation, customer experience, and efficiency Effective collaboration with business, engineering, and product teams

Position Overview: As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will wor k closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems. K ey

Responsibilities: Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (Big Query, Vertex AI, Dataflow, Pub/Sub, etc.)Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCPLead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards Must-Have S k ills: Expertise with GCP AI/ML tools (Vertex AI, Big Query ML, K ubeflow, Dataflow, Cloud Functions)Strong coding s k ills in Python and/or Java, with experience in ML framewor k s (Tensor Flow, PyTorch, sci k it-learn)Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)Advanced MLOps: CI/CD, containerization (Doc k er), orchestration ( K ubernetes), monitoring, and automation Data engineering s k ills: ETL/ELT, real-time and batch pipelines Excellent communication, collaboration, and technical leadership abilities Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications Desirable: GCP Professional Certifications (Data Engineer, ML Engineer)Experience with call center, telecom, or enterprise voice automationK nowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)Success in This Role: Reliable, high-performance deployment of AI/ML and IVR solutions on GCPMeasurable improvements in automation, customer experience, and efficiency Effective collaboration with business, engineering, and product teams