AI/ML Engineer

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.