Ai Engineer Google Cloud Google Cloud Platform
Posted 1 day ago by 1766049673
Negotiable
Outside
Remote
USA
Summary: The role of AI Engineer focuses on designing, building, deploying, and scaling cloud-based AI/ML solutions, particularly on Google Cloud Platform. The ideal candidate will have strong experience in machine learning systems and will collaborate with various teams to translate business needs into effective AI solutions. Responsibilities include developing end-to-end ML pipelines and implementing MLOps practices. The position requires hands-on experience with cloud services and AI technologies.
Key Responsibilities:
- Design, develop, and deploy AI/ML models in cloud environments (Google Cloud Platform preferred; AWS/Azure acceptable)
- Build end-to-end ML pipelines including data ingestion, feature engineering, training, evaluation, and deployment
- Implement MLOps practices using CI/CD, monitoring, versioning, and model lifecycle management
- Work with large datasets using cloud-native data services
- Optimize model performance, scalability, and cost in cloud environments
- Collaborate with data engineers, product teams, and stakeholders to translate business needs into AI solutions
- Ensure security, compliance, and best practices in cloud AI implementations
Key Skills:
- Strong experience as an AI Engineer / ML Engineer
- Hands-on experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage, Dataflow, Pub/Sub)
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with REST APIs, microservices, and containerization (Docker, Kubernetes)
- Solid understanding of ML algorithms, deep learning, and model evaluation
- Experience with SQL and data processing frameworks
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
We are seeking a highly skilled AI Engineer with strong experience in cloud-based AI/ML solutions, preferably on Google Cloud Platform (Google Cloud Platform). The ideal candidate will design, build, deploy, and scale machine learning and AI systems in a production cloud environment.
Key Responsibilities-
Design, develop, and deploy AI/ML models in cloud environments (Google Cloud Platform preferred; AWS/Azure acceptable)
-
Build end-to-end ML pipelines including data ingestion, feature engineering, training, evaluation, and deployment
-
Implement MLOps practices using CI/CD, monitoring, versioning, and model lifecycle management
-
Work with large datasets using cloud-native data services
-
Optimize model performance, scalability, and cost in cloud environments
-
Collaborate with data engineers, product teams, and stakeholders to translate business needs into AI solutions
-
Ensure security, compliance, and best practices in cloud AI implementations
-
Strong experience as an AI Engineer / ML Engineer
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Hands-on experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage, Dataflow, Pub/Sub)
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Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
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Experience with REST APIs, microservices, and containerization (Docker, Kubernetes)
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Solid understanding of ML algorithms, deep learning, and model evaluation
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Experience with SQL and data processing frameworks
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Experience with AWS or Azure in addition to Google Cloud Platform
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Knowledge of LLMs, GenAI, NLP, or Computer Vision use cases
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Experience with Terraform / Infrastructure as Code
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Exposure to real-time or streaming ML systems
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Pure Data Scientists with no production deployment experience
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Candidates without cloud AI/ML implementation experience
Please ensure resumes clearly highlight:
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Google Cloud Platform AI/ML project experience
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Model deployment and MLOps responsibilities
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End-to-end ownership of AI solutions