AI ML Vertex

Job Title: AI/ML Engineer Vertex AI & Generative AI Experience: 4-10 Years Location: Hyderabad/ Gurgaon / Bangalore Employment Type: Full-Time Job Summary We are looking for a highly skilled AI/ML Engineer with expertise in Google Vertex AI to design, develop, deploy, and optimize machine learning and Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong experience in ML model development, MLOps, LLMs, Vertex AI services, and cloud-native AI deployments. Key Responsibilities Design, develop, train, and deploy machine learning models using Vertex AI.Build and maintain end-to-end ML pipelines for data preparation, training, evaluation, deployment, and monitoring.Implement MLOps best practices for model lifecycle management and automation.Develop and deploy Generative AI solutions leveraging Vertex AI and Gemini models.Fine-tune, evaluate, and optimize machine learning and foundation models.Build RAG (Retrieval-Augmented Generation) applications using Vertex AI, Vector Search, and LLMs.Collaborate with Data Engineers, Data Scientists, and business stakeholders to deliver AI-driven solutions.Monitor deployed models for performance, drift, and reliability.Ensure scalability, security, governance, and responsible AI practices.Optimize cloud infrastructure and AI workloads for cost and performance.Required Technical Skills Machine Learning & AI Strong understanding of:Supervised and Unsupervised LearningDeep LearningNLPComputer VisionRecommendation SystemsExperience with model training, evaluation, and deployment.Programming Python (Advanced)SQLExperience with ML libraries:TensorFlowPyTorchScikit-learnPandasNumPyVertex AI Vertex AI WorkbenchVertex AI PipelinesVertex AI Model RegistryVertex AI EndpointsVertex AI Feature StoreVertex AI Model MonitoringVertex AI Vector SearchVertex AI Agent BuilderPrompt EngineeringGemini ModelsGenerative AI Large Language Models (LLMs)Prompt EngineeringRAG ArchitectureEmbeddings and Vector DatabasesModel Fine-TuningAgentic AI WorkflowsGoogle Cloud Platform (GCP) BigQueryCloud StorageDataflowPub/SubCloud FunctionsCloud RunGKE (Google Kubernetes Engine)MLOps & DevOps DockerKubernetesGit/GitHubCI/CD PipelinesTerraformMLflow (Optional)Preferred Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.Experience with enterprise AI/ML deployments on cloud platforms.Google Cloud Certifications:Professional Machine Learning EngineerProfessional Cloud ArchitectExperience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks. .