Google Cloud Platform AI/ML Engineer (12+Yrs IT EXP)

Role:Google Cloud Platform AI/ML Engineer Location: Remote Duration: Long term Project Detailed JD: Responsible for designing, building, and deploying machine learning models and AI-driven systems within the Google Cloud ecosystem. This role bridges data science and software engineering, focusing on creating scalable, production-ready AI solutionssuch as Generative AI, natural language processing, and predictive modelsusing tools like Vertex AI, TensorFlow, and BigQuery. Key Responsibilities

Role : Google Cloud Platform Tech Lead - AI/ML Location : Remote Duration: Long term Project Responsibilities: Develop AI/ML strategies, defining architecture and best practices for developing and deploying AI systems on Google Cloud. Lead the design of scalable production-grade AI solutions, including Generative AI, multi-agent orchestration, and computer vision models on Vertex AI. Use Google Cloud''s AI suite, including Vertex AI, Gemini models, BigQuery ML, Dataflow, and TPU/GPU hardware

Hi , Our client is looking for Google Cloud Platform Tech Lead AI/ML long term project and below is the detailed requirement. Title: Google Cloud Platform Tech Lead AI/ML Location: Remote Type: Contract Years of experience: 9-10 Job Overview: We are looking for a hands-on Tech Lead with strong expertise in Google Cloud Platform (Google Cloud Platform) and modern AI/ML technologies, including Generative AI. This role involves designing and leading scalable, production-grade AI soluti

Responsibilities Develop AI/ML strategies, defining architecture and best practices for developing and deploying AI systems on Google Cloud.Lead the design of scalable production-grade AI solutions, including Generative AI, multi-agent orchestration, and computer vision models on Vertex AI.Use Google Cloud''s AI suite, including Vertex AI, Gemini models, BigQuery ML, Dataflow, and TPU/GPU hardware for training and inference.Guide team members on Python, TensorFlow/PyTorch, API integrations, and