Machine Learning Engineer

As a Machine Learning Engineer at Indus Brain, you will be responsible for designing, implementing, and optimizing machine learning models fora 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 training.

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.