AI Presales
Tasks
- Design AI and data solutions
- Develop AI models and algorithms
- Develop data driven tools and processes
- Evaluate model accuracy and efficiency
- Generate business insights from data
- Identify data opportunities with stakeholders
- Optimize AI and ML model performance
- Provide expert guidance on predictive analytics
- Stay updated on AI research and methods
Perks/Benefits
- Career development
- Continuous learning
- Inclusion and diversity
- International projects
- Merit-based growth
Skills/Tech-stack
AWS | Azure AI | Classification | Cloud platform | Computer Vision | Deep learning | Experiment design | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Hugging Face | Hyperparameter Tuning | Hypothesis Testing | Keras | Key Performance Indicators | LLM | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | NumPy | OpenAI | OpenCV | Pandas | Performance indicators | Process control | PyTorch | Python | Regression | SQL | Scikit-learn | Statistical Hypothesis Testing | Statistical Process Control | Supervised Learning | TensorFlow | Time Series | Transformers | Unsupervised Learning | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Presales Specialist | Data Scientist | Presales Specialist | Scientist | Specialist
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