Lead Agentic AI Engineer
Tasks
- Analyze experiment trade offs
- Build high quality and synthetic datasets
- Design AI driven workflow systems
- Develop evaluation methods for model outputs
- Fine tune models using parameter efficient methods
- Integrate models services and data sources
- Optimize model performance for specific behaviors
- Run experiments to improve accuracy cost and latency
- Tune models for structured task reliability
Perks/Benefits
- Company hackathons
- Flexible working hours
- Hybrid work model
- Paid vacation days
- Regular feedback
- Technical trainings
- Work-life balance
Skills/Tech-stack
Cost Optimization | Data Preparation | Experimentation | Fine Tuning | Latency optimization | LoRA | Machine Learning | Model Evaluation | PyTorch | Python | QLoRA | Rust | Synthetic data | TensorFlow | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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