Sr. ML Engineer
Tasks
- Build RAG pipelines
- Create evaluation and monitoring for LLMs
- Define quality measures for groundedness and relevance
- Design and deliver generative AI solutions
- Develop LLM-powered applications
- Establish responsible AI and governance practices
- Implement context engineering
- Optimize retrieval and re ranking
- Provide technical guidance through reviews and mentoring
- Translate business problems into GenAI designs
Perks/Benefits
- Annual leave
- Employee assistance program
- Employee wellbeing platform Unmind
- Flexible working
- Learning and development opportunities
- Life insurance
- Medical insurance
- Mental health support
- Parental/maternity leave
- Retirement savings plan
- Sabbatical
- Volunteering leave
Skills/Tech-stack
API Development | CI/CD | Cloud Native | Context engineering | Document ingestion | Embeddings | Generative AI | Grounding | Hugging Face | Hybrid search | Langchain | Language Models | Large Language Models | Llamaindex | Observability | Performance Tuning | Prompt engineering | Python | RAG evaluation | Re-ranking | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases | Vector Search
Education
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