Software Engineer, Machine Learning RecSys
Tasks
- Analyze and optimize code quality performance
- Architect scalable systems
- Collaborate with cross-functional teams
- Conduct code reviews testing monitoring rollout
- Design build deploy recommendation systems
- Develop machine learning models at scale
- Develop reusable software components
- Fine-tune and integrate Large Language Models
- Identify and resolve performance/scalability issues
- Implement responsible ethical AI practices
- Implement user interfaces
- Provide technical guidance to peers
- Set technical direction for team
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | BERT | Bias Mitigation | C++ | Code Reviews | Collaborative Filtering | Content-Based Recommendation | Content-based | Context engineering | Fine Tuning | GPT | Hack | Hybrid recommendation | Java | JavaScript | LLM integration | Machine Learning | Monitoring | Personalization | Prompt engineering | PyTorch | Python | Recommendation Systems | Risk Assessment | System Architecture | TensorFlow | Testing
Education
Regions
Countries
States
Cities
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