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 closely with product, data, and engineering teams to architect end-to-end solutions, encompassing model development, 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 various use cases such as voice, vision, or NLP - Select and integrate appropriate tools, frameworks, and infrastructure like Kubernetes, Kafka, TensorFlow, PyTorch, ONNX, Triton, VLLM, etc. - Collaborate with data scientists and ML engineers to operationalize models - Ensure the reliability, observability, and performance of deployed systems - Conduct architecture reviews, POCs, and system optimizations - Mentor engineers and help establish best practices for the ML lifecycle (MLOps) Qualifications Required: - 6+ years of experience in 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 such as microservices, message queues, and distributed training/inference - Proficiency in Python and popular ML/DL frameworks like 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 This job is based in Chennai, Tamil Nadu, India, with a full-time employment type in the domain of Chemicals.,