AI/ML, IVR, and GCP Engineer

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 work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems., * Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, 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 GCP
• Lead 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

• Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)
• Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)
• Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation
• Data engineering skills: 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 automation
• Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

• Reliable, high-performance deployment of AI/ML and IVR solutions on GCP
• Measurable improvements in automation, customer experience, and efficiency
• Effective collaboration with business, engineering, and product teams