We are seeking an experienced AI/ML Architect to lead the design
and development of scalable, real-time AI systems. You will work closely with
product, data, and engineering teams to architect end-to-end solutions — from
model development and deployment to system integration and production monitoring.
· Design and architect AI/ML systems that are scalable, low-latency, and
production-ready
· Lead development of real-time inference pipelines for use cases like
voice, vision, or NLP
· Select and integrate appropriate tools, frameworks, and infrastructure
(e.g., Kubernetes, Kafka, TensorFlow, PyTorch, ONNX, Triton, VLLM etc.)
· Collaborate with data scientists and ML engineers to productionize
models
· Ensure reliability, observability, and performance of deployed systems
· Conduct architecture reviews, POCs, and system optimizations
· Mentor engineers and help set best practices for ML lifecycle (MLOps)
Requirements
· 6+ years of experience building
and deploying ML systems in production
· Proven expertise in real-time,
low-latency system design (e.g., streaming inference, event-driven
pipelines)
· Strong understanding of scalable
architectures — microservices, message queues, distributed
training/inference
· Proficient in Python and
popular ML/DL frameworks (scikit-learn, TensorFlow, PyTorch)
· Hands-on experience with LLM
inference optimization using frameworks like vLLM, TensorRT-LLM, and SGLang
· Familiarity with vector
databases, embedding-based retrieval, and RAG pipelines
· Experience with containerized
environments (Docker, Kubernetes) and managing multi-container applications
· Working knowledge of cloud
platforms (AWS, GCP, or Azure) and CI/CD practices for ML workflows
· Exposure to edge deployments and model compression/optimization techniques
· Strong foundation in software
engineering principles and system design
· Experience in Linux (Ubuntu)
· Terminal/Bash Scripting
