Machine Learning Platform Architect

Do you have experience in System design?, Core AI/ML : Deep Learning, Transformers, Reinforcement Learning, NLP, Computer Vision. Cloud & Infrastructure: Azure (since IBM often partners or competes in this space), AWS, or IBM Cloud (Watson). Big Data Tech : Spark, Kafka, Kubernetes (K8s), Docker, and Vector Databases (e.g., Pinecone, Milvus). LLM & Generative AI : Given current trends, experience with LangChain, LlamaIndex, and fine-tuning Large Language Models is a significant plus. System Design over Model Building : Evidence that the candidate understands how to integrate AI into existing enterprise infrastructure. Scalability & MLOps : A focus on how models are deployed, monitored, and maintained (CI/CD for ML). Platform Experience : Experience building or managing internal AI platforms that multiple data science teams use Very Good communication Architectural thinking to design complex AI/ ML systems/ Platforms. Technically strong to work in challenging environment.