We are looking for a passionate AI/ML Engineer who can design and deploy machine learning models for enterprise-grade applications and client projects.

Role Overview

As an AI/ML Engineer, you will work with cross-functional teams to develop scalable machine learning models and AI-powered solutions. The role involves building data-driven systems, optimizing model performance, and deploying ML solutions into production environments.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models using Python.
• Build scalable ML solutions using frameworks such as TensorFlow or PyTorch.
• Work with large datasets to perform data preprocessing, feature engineering, and model training.
• Develop and maintain ML pipelines for model training, validation, and deployment.
• Collaborate with data engineers, product managers, and development teams to deliver AI-driven solutions.
• Optimize models for performance, scalability, and accuracy.
• Implement monitoring and performance tracking for production ML systems.

Required Skills

• Strong proficiency in Python for machine learning development.
• Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with data preprocessing and feature engineering.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.