08 Sep
|
Topcoder
|
Noida
Primary Tech Stack:
Python, TensorFlow / PyTorch, Scikit-learn, Feature Engineering, Hyperparameter Tuning, ML Pipeline Development, Model Ops / MLOps
Secondary Tech Stack:
Data Engineering, Pandas / NumPy, Cloud ML Services (Azure ML / AWS SageMaker / GCP AI Platform)
Requirements:
- 3–5 years of experience tuning and deploying ML models
- Strong Python skills with experience in ML frameworks (TensorFlow / PyTorch)
- Hands-on experience creating end-to-end ML pipelines
- Demonstrable experience building production-grade ML pipelines and operationalizing models
- Practical exposure to Model Ops / MLOps practices
- Robust feature engineering and model tuning expertise
- Experience working with large datasets and automated pipelines
📌 Machine Learning Engineer (Noida)
🏢 Topcoder
📍 Noida