Machine Learning Engineer
Tasks
- Analyze post-release performance and improve models
- Build and scale agentic LLM workflows
- Collaborate cross functionally to deliver machine learning as a service
- Design feedback loops for continuous model training
- Develop AI agent for customer support and sales
- Implement retrieval augmented generation systems
- Maintain machine learning data pipeline
- Own machine learning development lifecycle
- Set up observability for deployed ML models
- Write technical specifications and implement scalable services
Perks/Benefits
- Learning budget
- Paid Equipment Stipend
- Paid parental leave
- Paid sick leave
- Paid vacation
- Parental leave support
- Private health insurance
- Professional development allowance
- Work from home support
Skills/Tech-stack
A/B | A/B Testing | Agentic Workflows | B testing | BigQuery | Clustering | Continuous Training | DBT | Data Pipelines | Domain-Driven Design | Hugging Face | LLM Applications | Language Models | Large Language Models | Machine Learning | NLP | Observability | Prompt engineering | Python | Reranking | Retrieval-Augmented Generation | Text Classification | Vertex AI
Education
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