Senior Machine Learning Engineer
Tasks
- Build retrieval augmented generation pipelines with source citations
- Deploy machine learning solutions with MLOps pipelines
- Design and implement machine learning and generative AI solutions
- Develop agent orchestration and memory
- Evaluate model performance using enterprise datasets
- Integrate models with guardrails and data redaction
- Integrate solutions into CI CD and production monitoring
- Monitor evaluations and service level agreements
- Optimize models and prompts for accuracy latency and cost
- Perform data preprocessing and feature engineering
- Run experiments and iterate using metric tracking
- Support responsible AI and model governance
Perks/Benefits
- Additional annual leave purchase
- Birthday holiday
- Global environment
- Hybrid working
- Life assurance
- Private medical insurance
- Private pension
- Supportive company culture
Skills/Tech-stack
AWS Bedrock | Amazon SageMaker | Azure | CI/CD | Cloud platform | Content Safety | Docker | Embeddings | Git | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | LLMOps | Langchain | Langgraph | MLOps | Model Evaluation | PII Redaction | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Stores | XGBoost
Education
N/A
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