Senior AI Engineer
Tasks
- Build evaluation datasets and guardrails
- Build scalable AI solutions for financial services
- Collaborate with engineering compliance and operations teams
- Create MLOps pipelines for training deployment and monitoring
- Deploy and optimize predictive models
- Design generative AI solutions using prompt engineering
- Develop LLM based payment experiences
- Implement feedback loops for continuous improvement
- Manage end to end lifecycle of predictive models and AI agents
- Orchestrate LLM agents and fine tune models
Perks/Benefits
- Birthday leave
- Employee assistance programme
- Employee benefits package
- Medical insurance
- Parental leave
- Term life insurance
- Volunteering leave
Skills/Tech-stack
Amazon SageMaker | Bagging | Boosting | Cloud Platforms | Feature Engineering | Fine Tuning | Git | GitHub | Guardrails | Hive | Kubeflow | LLM orchestration | Langchain | Langgraph | Langsmith | LoRA | MLOps | MLflow | Machine Learning | Model Fine-tuning | Online Learning | PEFT | Presto | Prompt engineering | Python | Recommendation Engines | SQL | Spark
Education
N/A
Roles
AI Engineer | Data Scientist | Engineer | Scientist | Senior AI Engineer | Senior Data Scientist
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