GenAI Engineer | LLMs, NLP & Cloud (MLOps)
Tasks
- Build CI CD AI workflows
- Build RAG pipelines
- Deploy AI models on cloud
- Design generative AI solutions
- Develop LLM applications
- Develop vector embeddings and retrieval
- Evaluate and fine-tune LLMs
- Implement AI model governance
- Lead proofs of concept for new AI technologies
- Maintain AI architecture documentation
- Mentor junior AI engineers
- Monitor model performance and drift
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | AWS Lambda | Amazon SageMaker | Azure | Azure ML | Bias Mitigation | CI/CD | Cloud platform | Data Lineage | Data Preprocessing | Data Privacy | Docker | Embeddings | Encryption | Faiss | Generative AI | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Harness | Hugging Face | Hugging Face Transformers | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Machine learning lifecycle | Model Governance | Model Monitoring | Model Security | Model Serving | NLP | NoSQL | Pinecone | PyTorch | Python | RAG Pipelines | Retrieval-Augmented Generation | SDLC | Safety | Secure Model Serving | Serverless Architectures | Spacy | TensorFlow | Vector Databases | Vertex AI
Education
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