ML Engineer-Advanced Analytics

About the role

As an ML Engineer with Advanced Analytics skills, you will apply your strong understanding of machine learning techniques and their applications to design, develop, and deploy production-ready ML software. You will utilize popular libraries such as scikit-learn, TensorFlow, or PyTorch to ensure that ML solutions are efficient, scalable, and maintainable.

What you'll do

• Work with leading companies across industries, helping them shape their hybrid cloud and AI journeys
• Utilize popular libraries such as scikit-learn, TensorFlow, or PyTorch to ensure that ML solutions are efficient, scalable, and maintainable
• Deploy and Maintain ML Solutions: Ensure that ML solutions are efficient, scalable, and maintainable, and deploy them to meet business needs
• Develop Distributed Systems: Design and develop distributed systems and ML components to support large-scale ML applications
• Implement ML Algorithms: Implement ML algorithms using popular libraries such as scikit-learn, TensorFlow, or PyTorch to drive business outcomes

What you need

• Machine learning
• Analytics
• Scikit-learn
• TensorFlow
• PyTorch
• Data analysis
• Any graduate