AI/ML Architect

As an experienced AI/ML Architect, your role will involve leading the design and development of scalable, real-time AI systems. You will collaborate with product, data, and engineering teams to architect end-to-end solutions, from model development to deployment, system integration, and production monitoring. Key Responsibilities: - Design and architect AI/ML systems that are scalable, low-latency, and production-ready. - Lead the development of real-time inference pipelines for voice, vision, or NLP use cases. - Select and integrate appropriate tools, frameworks, and infrastructure such as Kubernetes, Kafka, TensorFlow, PyTorch, ONNX, Triton, and VLLM. - Collaborate with data scientists and ML engineers to productionize models. - Ensure the reliability, observability, and performance of deployed systems. - Conduct architecture reviews, POCs, and system optimizations. - Mentor engineers and establish best practices for the ML lifecycle (MLOps). Qualifications Required: - 6+ years of experience building and deploying ML systems in production. - Proven expertise in real-time, low-latency system design, including streaming inference and event-driven pipelines. - Strong understanding of scalable architectures, microservices, message queues, and distributed training/inference. - Proficiency in Python and popular ML/DL frameworks like scikit-learn, TensorFlow, and PyTorch. - Hands-on experience with LLM inference optimization using frameworks such as 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 like 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. If there are any additional details about the company in the job description, please provide them in order to include them here. As an experienced AI/ML Architect, your role will involve leading the design and development of scalable, real-time AI systems. You will collaborate with product, data, and engineering teams to architect end-to-end solutions, from model development to deployment, system integration, and production monitoring. Key Responsibilities: - Design and architect AI/ML systems that are scalable, low-latency, and production-ready. - Lead the development of real-time inference pipelines for voice, vision, or NLP use cases. - Select and integrate appropriate tools, frameworks, and infrastructure such as Kubernetes, Kafka, TensorFlow, PyTorch, ONNX, Triton, and VLLM. - Collaborate with data scientists and ML engineers to productionize models. - Ensure the reliability, observability, and performance of deployed systems. - Conduct architecture reviews, POCs, and system optimizations. - Mentor engineers and establish best practices for the ML lifecycle (MLOps). Qualifications Required: - 6+ years of experience building and deploying ML systems in production. - Proven expertise in real-time, low-latency system design, including streaming inference and event-driven pipelines. - Strong understanding of scalable architectures, microservices, message queues, and distributed training/inference. - Proficiency in Python and popular ML/DL frameworks like scikit-learn, TensorFlow, and PyTorch. - Hands-on experience with LLM inference optimization using frameworks such as 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 like 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. If there are any additional details about the company in the job description, please provide them in order to include them here.