AI / ML Engineer (Applied AI & Automations)
Tasks
- Build and maintain AI driven workflows and automations
- Build embeddings and vector search pipelines
- Deploy and monitor ML systems in cloud environments
- Design build deploy applied AI and ML features used in production
- Develop NLP and LLM systems
- Implement backend services and APIs for AI inference
- Improve accuracy latency reliability and cost
- Integrate AI features with product logic
- Participate in architecture decisions code reviews and planning
- Test monitor and continuously improve AI systems
- Train, fine-tune, and optimize machine learning models
Perks/Benefits
- 401k plan
- Company offsites
- Equipment budget
- Generous PTO
- Medical/Dental/Vision insurance
- Mentoring
- Ongoing learning
- Team events
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud Computing | Cloud platform | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | Python | RAG | REST APIs | Retrieval-Augmented Generation | Vector Search
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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