Key Responsibilities:

- Develop, train, and optimize machine learning and deep learning models.

- Research and experiment with new approaches to improve model performance.

- Work on foundation models and translate research into practical applications.

- Build and deploy scalable, production-ready ML solutions.

- Collaborate with engineering teams to solve complex technical challenges.

Requirements:

- 3 - 7 years of strong experience in Machine Learning, Deep Learning, and model development.

- Good understanding of computer vision and modern AI architectures.

- Experience with Python and ML frameworks such as PyTorch or TensorFlow.

- Strong problem-solving, experimentation, and analytical skills.

- Experience with robotics or physical AI is a plus, but not mandatory.

Tech Stack:

- Python, PyTorch, TensorFlow, ML systems, Diffusion models, Transformer models, AWS, GCP, Model training, Software/hardware integration