Job Description & How to Apply Below
Key Responsibilities
Design and implement Generative AI solutions using Vertex AI and GCP services
Develop, train, fine-tune, and deploy AI/ML models in production environments
Build and maintain scalable data pipelines for AI model training and inference
Collaborate with data engineers and data scientists to prepare and optimize datasets
Integrate Gen AI solutions with enterprise applications and APIs
Optimize model performance, scalability, and cost efficiency on cloud infrastructure
Implement MLOps best practices including CI/CD, monitoring, and model lifecycle management
Ensure data security, governance, and compliance standards are followed
Troubleshoot and resolve performance and deployment issues
Stay updated with the latest advancements in Gen AI and cloud technologies
Required
Skills & Qualifications
Strong hands‑on experience with GCP services and Vertex AI
Experience building Generative AI solutions using LLMs and AI frameworks
Solid background in data engineering concepts and pipeline development
Proficiency in Python and ML/AI libraries
Experience with Big Query, Cloud Storage, and data processing tools
Knowledge of API integration and microservices architecture
Familiarity with MLOps practices and cloud deployment strategies
Strong understanding of data modeling and ETL processes
Excellent problem‑solving and communication skills
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×