AI Engineer
Tasks
- Build AI project goals
- Conduct AI research and evaluation
- Curate, clean, and preprocess datasets
- Design AI solutions
- Develop AI models and systems
- Develop NLP solutions
- Ensure data privacy, security, and ethics
- Establish evaluation metrics
- Evaluate generative AI techniques
- Implement end-to-end data pipelines
- Implement similarity search
- Integrate pre-trained models
- Optimize model deployment
Perks/Benefits
- Employee assistance program
- Flexible work schedule
- Flexible working arrangements
- Friday afternoon off
- Hybrid work
- Mobility programs
- Paid Maternity Leave
- Paid paternity leave
- Paid sick leave
- Private medical and life insurance
- Provident fund
- Yearly wellbeing days off
Skills/Tech-stack
AWS | Agile | Azure | BERT | Cloud Computing | Continuous Deployment | Continuous integration | Data Engineering | Data Preprocessing | Data Privacy | Data Security | Data cleaning | Deep learning | DevOps | Docker | Domain Adaptation | GPT | Generative AI | Git | Google Cloud | Kubernetes | Language Models | Language Processing | Lean | MLOps | Machine Learning | Model Compression | Monitoring and Logging | NLP | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | R | Redis | Similarity Search | TensorFlow | Transfer Learning | Transformer | Vector Database
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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