Software Engineer - AI/ML
Tasks
- Build and maintain ML models for real world problems
- Collaborate with product managers on AI ML opportunities
- Conduct online offline evaluation
- Deploy machine learning models
- Develop production grade machine learning models
- Implement machine learning solutions
- Improve models with feature engineering
- Monitor model performance
- Run experiments for model evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
ArangoDB | Artificial Intelligence | Causal AI | Computer Vision | Continuous integration | DevOps | Experimentation | Feature Engineering | GenAI | Generative AI | Kubeflow | Langchain | Language Processing | Llamaindex | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | Neo4j | NumPy | Offline evaluation | Online Offline Evaluation | OpenCV | Pandas | PyTorch | Python | Reinforcement Learning | Rust | SciPy | Scikit-learn | TensorFlow | Vector Database
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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