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GCP AI Engineer

Intersources Inc.
United States
6 days ago
Apply on www2.jobdiva.com
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$25,000.0
Working hours
Regular working hours
Job source
www2.jobdiva.com

Tech stack

Java (Programming Language) Artificial Intelligence BigQuery Cloud Computing Computer Programming Data Flow Control Python (Programming Language) Machine Learning Tensorflow Google Cloud Pytorch Information Technology

Job description

  • Design, develop, and implement AI and machine learning models on the Google Cloud Platform
  • Collaborate with cross-functional teams to identify business needs and translate them into AI solutions
  • Optimize and maintain existing AI models to improve performance and accuracy
  • Monitor and evaluate model performance using relevant metrics and make necessary adjustments
  • Stay updated with the latest advancements in AI technologies and GCP services to enhance solution offerings

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • Proven experience in developing and deploying machine learning models on GCP
  • Strong programming skills in languages such as Python, Java, or Go, with experience in AI frameworks like TensorFlow or PyTorch
  • Familiarity with GCP services such as BigQuery, Cloud ML Engine, and Dataflow
  • A minimum of 10-12 years’ experience with at least 8 - 10 years in hands-on development

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www2.jobdiva.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:48 min

Exploring generative AI learning paths and hands-on labs

Asrar Asrar · World Congress 2024

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

Videos

See all
The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • 2 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

Christoph Lohrmann, Utz Bacher

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

HÃ¥kan Silfvernagel

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Serverless deployment of (large) NLP models thumbnail
39:02
LIVE • over 5 years ago

Serverless deployment of (large) NLP models

Marek Suppa

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