Google Cloud Platform AI/ML Engineer - Remote
Description
Role : Google Cloud Platform AI/ML Engineer Location : Remote Detailed JD: Responsible for deg, 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 solutions such as Generative AI, natural language processing, and predictive models using tools like Vertex AI, TensorFlow, and BigQuery. Key Responsibilities Model Development & Training: Develop and train predictive and generative AI models using Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn, often within Vertex AI. Google Cloud Platform Implementation: Implement solutions using Google Cloud Platform services like BigQuery, Dataflow, Cloud Functions, and Vertex AI Pipelines to build scalable infrastructure. MLOps and Automation: Design and automate MLOps pipelines (training, deployment, monitoring) to ensure model performance, scalability, and reliability. Data Engineering: Construct data pipelines for ingestion, preprocessing, and storage of structured/unstructured data using SQL and BigQuery. Generative AI Integration: Implement LLMs, retrieval-augmented generation (RAG) patterns, and agentic workflows (e.g., using LangChain). Optimization & Troubleshooting: Monitor and optimize deployed models for accuracy, latency, and cost-effectiveness. Required Skills and Qualifications Experience: 5+ years in AI/ML model deployment and software engineering. Technical Proficiencies: Strong programming skills in Python and SQL. Google Cloud Platform Expertise: Proven experience with Google Cloud Platform, specifically Vertex AI, Dataflow, and BigQuery. ML Frameworks: In-depth knowledge of TensorFlow, PyTorch, or Scikit-learn. DevOps/Containerization: Proficiency with Docker, Kubernetes (GKE), and CI/CD tools. Education: Bachelor s or Master s degree in Computer Science, AI, Machine Learning, or a related field. Preferred Qualifications Google Cloud Platform Professional Machine Learning Engineer certification. Experience with Vertex AI agent builder Background in Natural Language Processing (NLP) or Computer Vision
Skills
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