Senior AI Engineer
Tasks
- Adapt AI models to specialized domains
- Analyze systems and recommend improvements
- Architect AI systems
- Build multi component pipelines
- Build scalable data pipelines
- Collaborate cross-functional teams
- Conduct Proof of Concept projects
- Contribute to MLOps and LLMOps
- Develop custom AI Agents
- Ensure ethical AI principles
- Ensure security standards
- Evaluate and prototype AI techniques
- Implement retrieval-augmented generation
- Implement testing frameworks for AI
- Integrate AI models via APIs
- Mentor junior engineers
- Monitor AI model performance
- Optimize AI performance for latency and resources
- Stay current with AI research
- Translate functional requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | Cloud Platforms | Data Pipelines | Docker | GCP | Kubernetes | LLMOps | MLOps | Machine Learning | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow
Education
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