Machine Learning/ AI Engineer
Tasks
- Architect LLM powered features
- Build agentic AI systems
- Build data and training pipelines
- Build evaluation pipelines
- Collaborate with data engineers and product managers
- Contribute to ML infrastructure and experiment orchestration
- Deploy machine learning systems
- Design multi-agent workflows
- Develop ML pipelines
- Develop retrieval-augmented generation systems
- Explore AI research and innovation
- Implement online inference and monitoring
- Implement prompt engineering strategies
- Perform A/B testing
Perks/Benefits
- Enhanced maternity leave
- Enhanced paternity leave
- Flexible working hours
- Free Lunches
- Free breakfast
- Free snacks
- Fresh fruit
- Hybrid work model
- Personal training budget
- Private health insurance
- Social activities
Skills/Tech-stack
A/B | A/B Testing | API | AWS | AWS Lambda | Airflow | Amazon S3 | Amazon SageMaker | B testing | Data Structures | Experimentation | Graph Data | Graph Data Structures | Graph Databases | LLM | Langchain | Langgraph | Machine Learning | Microservices | Monitoring | NLP | Neo4j | NetworkX | Online Inference | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Vector Stores
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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