AI Engineer - Tech Lead - Remote
Tasks
- Architect cloud native scalable AI solutions
- Build AI model lifecycle and pipelines
- Deploy AI inference services
- Design agentic workflows
- Drive observability and reliability of AI services
- Ensure AI security privacy compliance and governance
- Implement model versioning and monitoring
- Implement prompt engineering and RAG pipelines
- Integrate AI systems with enterprise APIs and data sources
- Lead AI/ML solution design and implementation
- Lead ML CI CD
- Mentor AI engineers and data scientists
- Optimize model accuracy latency and cost
- Own AI system architecture
- Perform drift detection for AI models
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | Azure | CI/CD | Cloud Native | Cloud platform | Data Ingestion | Data Preprocessing | Deep learning | Drift Detection | Generative AI | Google Cloud | Google Cloud Platform | Inference services | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Model versioning | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow
Education
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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