
Senior AI Engineer/Developer
Posted Sep 5

Posted Sep 5
This is a fully remote position, open to applicants in Pakistan.
• Design, train, and optimize models and pipelines for STT, NLU, and TTS applications.
• Construct and uphold MLOps pipelines for the deployment, monitoring, and retraining of models.
• Develop APIs and services that showcase AI capabilities to both backend and frontend systems.
• Collaborate with backend engineers to enhance inference performance and minimize end-to-end latency.
• Create frontend prototypes, dashboards, and demonstrations utilizing a modern frontend framework.
• Perform research and controlled experiments to elevate model accuracy, quality, and performance.
• Assess external models and providers against product specifications and measurable benchmarks.
• Document model architectures, experiments, evaluation results, and deployment methodologies.
• Engage in code reviews and uphold high standards of engineering and reproducibility.
• Design, deploy, and enhance AI/ML models that drive a cloud-native intelligent voice assistant platform for customer support, sales, and internal operations.
• Collaborate with backend, frontend, and infrastructure teams.
• 5+ years of experience as outlined in the job header.
• 7–9 years of experience in AI/ML development.
• Proficient in Python with experience in PyTorch, TensorFlow, Hugging Face, or similar frameworks.
• Practical experience with speech/audio processing and natural language processing methodologies.
• Hands-on deployment experience using ONNX, TensorRT, Triton, or comparable tools.
• Familiarity with React, Vue.js, or Angular; frontend development is essential.
• Experience with AWS SageMaker, GCP Vertex AI, Azure ML, or a similar cloud AI platform.
• Understanding of Docker and Kubernetes.
• Experience with Git and continuous integration and delivery pipelines.
• Strong analytical and problem-solving capabilities.
• Experience with real-time streaming utilizing WebSocket or WebRTC.
• Knowledge of model quantization, pruning, and optimization for inference.
• Familiarity with SIP, WebRTC, or PSTN integration.
• Contributions to open-source projects or research publications in AI, speech, or voice fields.
• Medical insurance.
• Company-provided gadgets.
• Paid time off.
• Stock options (ESOP).
• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Collaborative and innovative workplace environment.
• Opportunity to work on advanced cloud projects.
• Supportive and inclusive company culture.
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