AI Engineer
Tasks
- Build AI solutions
- Coordinate AI delivery quality assurance
- Create data and AI architectures
- Deploy AI solutions to production
- Design machine learning deep learning and LLM models
- Develop AI agents for customer use cases
- Ensure security and governance for AI systems
- Implement MLOps pipelines
- Integrate AI applications into business processes
- Optimize performance of AI products
- Propose new AI solutions for business development
- Support AI research and technology scouting
Perks/Benefits
Skills/Tech-stack
Agentic AI | Algorithms | Amazon Web Services | Azure | CI/CD | Cloud platform | Cursor | Data Structures | Deep learning | ETL | Generative AI | Git | GitHub | GitHub Copilot | GitLab | Google Cloud | Google Cloud Platform | Hadoop | Hive | Java | Kafka | Kanban | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Network training | Neural Network | Neural network training | PEFT | PyTorch | Python | Rapid Prototyping | SQL | Scala | Scrum | Spark | TensorFlow | Vibe Coding | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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