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AI/ML Architect

Job Description - AI/ML Architect

Job Summary

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.

Key Responsibilities

·         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

 

Nice to Haves

·         Experience in Linux (Ubuntu)

·         Terminal/Bash Scripting

 



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