Skills : ONNX, Python, PyTorch, TensorFlow/ Keras,
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Job Description:
Owns model development, training, and quality — building and improving the ML models (not just LLM wrappers) that power a product, from data pipeline to production deployment.
Key Skills:
- Strong ML fundamentals (supervised/unsupervised learning, deep learning)
- PyTorch or TensorFlow, model training and evaluation
- Feature engineering, data pipeline design
- Model deployment and serving (ONNX, TorchServe, SageMaker)
- Statistics and experimentation (A/B testing, offline/online eval)
Experience Required:
- 3–7 years in ML engineering or applied data science
- MS or PhD common at research-heavy companies; a strong portfolio can substitute