More jobs:
Job Description & How to Apply Below
Key Responsibilities
- Develop and deploy scalable machine learning systems in production environments
- Build efficient data pipelines and infrastructure for AI applications
- Optimize ML models for performance, reliability, and scalability
- Implement MLOps practices for continuous integration and deployment of AI models
- Ensure AI systems meet banking security, compliance, and performance requirements
- Collaborate with data scientists to translate models into production-ready code
- Design and implement monitoring systems for deployed AI applications
- Troubleshoot and resolve issues with AI systems in production
- Contribute to the development of internal ML platforms and tools
- Stay current with latest developments in ML engineering and MLOps
Keyskills required:
- Min 8 Yrs of exp is required
- Experience in Python, AI ML, Deep learning, LLMs, NLP
- Experience with ML frameworks (Tensor Flow, PyTorch, scikit-learn)
- Knowledge of containerization and orchestration tools (Docker, Kubernetes)
- Understanding of software architecture and system design principles
- Familiarity with cloud platforms (AWS, Azure, GCP)
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:
×