What are the responsibilities and job description for the Machine Learning Engineer position at Wise Skulls?
About our Client
Our client is one of the leading technology companies globally.
Designation: GenAI Engineer
Location: Sunnyvale, CA (Hybrid) (Local to California)
Experience: 6 Years
Duration: 6 months
JD:
Minimum Years of Experience: 5 Years
Skills
- Statistics & Mathematics: probability, linear algebra, and optimization—core to understanding and debugging ML models.
- Machine Learning: classical ML algorithms, including decision trees, ensemble methods (Random Forest, XGBoost, LightGBM), and model evaluation techniques.
- Deep Learning (only need high-Level understanding): Familiar with key DL architectures—sequence models (RNNs, LSTMs) and transformer-based models; understand how attention mechanisms and positional encoding work conceptually.
- Software Engineering: Solid software development background with some experience in system design; able to contribute to production-grade ML systems with scalability and maintainability in mind.
Tools & Frameworks
- Data Analysis: pandas, NumPy
- Modeling & ML: scikit-learn, XGBoost, LightGBM, bert, transformer, etc.
- Deep Learning: PyTorch (hands-on exposure)
- Dev & Infra: Git, Docker (optional to list if relevant), basic cloud experience (e.g., AWS, GCP) if applicable
Languages
- Python (primary) — clean, modular coding style, experienced in both prototyping and production deployment
If you are interested in this role, please attach your updated resume while applying.
For more information, reach out to Taukir Pathan on Taukir@wiseskulls.com
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