Google Cloud Platform AI/ML Engineer - Remote

Role : Google Cloud Platform AI/ML Engineer

Location : Remote

• 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 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