Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Align delivery with business KPIs
- Automate model evaluation
- Build multi-agent systems
- Conduct experimentation and rapid prototyping
- Create AI roadmaps for business discovery
- Deploy LLM driven applications
- Develop CI CD best practices for LLMOps
- Drive AI development from prototyping to production
- Ensure performance security reliability
- Establish AI solution governance
- Implement model observability and monitoring
- Implement retrieval-augmented generation
- Lead end to end design of scalable AI systems
- Mentor engineers through code reviews
Perks/Benefits
- Company paid medical insurance
- Company-paid certifications
- Financial and legal consultations
- Internal workshops and meetups
- Language courses
- Mental health support
- Udemy access
Skills/Tech-stack
API Integration | AWS SageMaker | Agent systems | Azure ML | CCPA | CI/CD | Data Privacy | Deep learning | Ethical AI | GDPR | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Langchain | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Observability | Model Serving | Model versioning | Multi-Agent | Multi-Agent Systems | Probability | PyTorch | Python | RAG | Retrieval-Augmented Generation | Statistics | TensorFlow | Vertex AI
Education
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