AI Engineer

Key ResponsibilitiesTransform AI prototypes into scalable, production-ready architectures and platform components.Build end-to-end model training, evaluation, inference, and deployment pipelines.Develop agentic frameworks for model reasoning, tool integration, and workflow orchestration.Optimize model inference using techniques such as KV caching, batching, quantization, and optimized runtimes such as vLLM.Design systems for latency, throughput, scalability, reliability, and runtime efficiency.Establish AI infrastructure and MLOps practices using Docker, Kubernetes, and model lifecycle management.Collaborate with research, product, and engineering teams to deliver production-ready AI capabilities.Job RequirementsStrong software/AI engineering background with relevant industry experience.Proficiency in Python and experience with PyTorch.Experience building and optimizing ML training and inference pipelines.Familiarity with MLOps, model serving, and lifecycle management.Hands-on experience with Docker, Kubernetes, and scalable infrastructure.Understanding of LLM/foundation model inference optimization and runtime performance.Strong system design skills covering scalability, latency, throughput, and reliability.Strong problem-solving, collaboration, and communication skills.If you arepassionate about this role and meet the above requirements, please don’thesitate to apply. Please note that only shortlisted candidates will becontacted. Appreciate your understanding. Data provided is for recruitmentpurposes only.About UsDada Consultants wasestablished in 2017, with the commitment of providing the best recruitmentservices in Singapore. We are comprised of a dynamic head-hunting teamdedicated to sourcing for highly competent professionals in IT industry. Weprovide enterprises with customized talent solutions, and bring talents tocareer advancement.Dada Consultants Pte LtdWebsite: www.dadaconsultants.comEA License No.: 18S9037 | EA Registration No. R25128548Business Registration Number: 201735941W