AI Engineer
Tasks
- Build feature stores and model monitoring
- Collaborate with data scientists and software engineers
- Deploy production AI ML models
- Design end to end AI ML systems from proof of concept to production
- Design model APIs
- Implement MLOps and LLMOps best practices
- Orchestrate data and model pipelines
- Own client feature and deployment pipelines
- Translate technical findings into actionable insights
Perks/Benefits
- 360 degree feedback reviews
- Bi-weekly coaching
- Meal free catering during events
- Mentoring
- OV first public transport coverage
- Personal budget for courses and certifications
- Vacation days
Skills/Tech-stack
AWS | Agent systems | Agentic Architectures | Azure | Docker | ELT | ETL | Feature Store | GCP | Git | Kubernetes | LLM | LLMOps | MLOps | Model Monitoring | Multi-Agent | Multi-Agent Systems | Pipeline Orchestration | Python | RAG | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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