Principal Engineer, Machine Learning
Tasks
- Build AI data and big data pipelines
- Build retrieval-augmented generation pipelines
- Conduct POCs to validate solutions
- Define NFR benchmarks and guidelines
- Deploy machine learning models using containers and orchestration
- Design MLOps and model deployment pipelines
- Design machine learning architecture
- Develop NLP solutions
- Develop and integrate LLM prompts
- Develop generative AI solutions
- Develop machine vision solutions
- Develop multi-agent systems
- Implement statistical models
- Resolve defects through root cause analysis
- Review system architecture for scalability and security
- Train deep learning models
- Write and review technical design documents
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Computer Vision | Deep learning | Docker | Foundation Models | GAN | Generative AI | JAX | Kubeflow | Kubernetes | LLM | Language Processing | MLOps | MLflow | Machine Learning | Multimodal AI | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | VAE
Education
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