Machine Learning Engineer - Python/PyTorch

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