Senior AI Engineer
Tasks
- Build data pipelines for ML services
- Calibrate model responses against SME benchmarks
- Collaborate with DevOps on deployment monitoring and rollback plans
- Create unit and integration tests and data quality checks
- Define AI aware definition of done for code data and models
- Design and implement retrieval prompts and version management
- Develop and fine tune LLM RAG estimation logic
- Document model behavior performance and improvement cycles
- Evaluate model performance and apply safety and bias gates
- Integrate Azure AI services and Azure OpenAI APIs
- Lead technical design and delivery for AI estimation agent
Perks/Benefits
- Employee discounts
- Gym discount
- Insurance discount
- Mentorship
- Mobile phone plan discount
- Training and development programs
Skills/Tech-stack
Apache Airflow | Artificial Intelligence | Azure OpenAI | Bias Mitigation | CI | Data Contracts | Data Modeling | Data Quality | Data Transformation | Embeddings | Feature Stores | Graph retrieval | Human-in-the-loop | Hybrid retrieval | Integration Testing | Langchain | Language Models | Large Language Models | Lineage | MLOps | Machine Learning | Model Evaluation | OpenAI | PII handling | Prefect | Python | RAG | Retrieval-Augmented Generation | SQL | Safety | The Loop | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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