Machine Learning Engineer

A Machine Learning Engineer develops algorithms and models that allow systems to learn and improve automatically from data. They work with frameworks like TensorFlow, PyTorch, and Scikit-learn.

Their role involves training models, deploying them at scale, and continuously refining them to improve accuracy and efficiency.

Machine Learning Engineers are at the forefront of innovation, building intelligent solutions such as recommendation systems, fraud detection, and predictive analytics.

• Designs, trains, and deploys machine learning and AI models.
• Optimizes algorithms for accuracy, scalability, and performance.
• Collaborates with data teams to transform raw data into actionable intelligence.