As a Machine Learning Engineer at Indus Brain, you will be
responsible for designing, implementing, and optimizing machine learning models for
a wide range of applications, from robotics to industrial automation. You will
collaborate closely with data scientists and robotic engineers to develop intelligent
systems that improve automation processes.
Key Responsibilities:
• Develop, train, and deploy machine learning models for various applications.
• Work on vision-based algorithms (e.g., object detection, segmentation,
keypoint detection).
• Collaborate with robotics engineers to integrate ML models with robotic
systems.
• Research and implement cutting-edge algorithms in AI and deep learning.
• Optimize models for efficiency, accuracy, and scalability.
• Conduct data preprocessing, feature extraction, and augmentation for model
Requirements:
• Elementary degree in Computer Science, AI, or related fields.
• Strong background in machine learning, deep learning, and neural networks.
• Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
• Experience with computer vision algorithms, especially for robotic
applications.
• Understanding of data pipelines and model deployment (edge/cloud).
• Experience with reinforcement learning is a plus.