AI/ML Engineer

Responsibilities

• Design and implement machine learning models for predictive analytics and decision support.
• Conduct data preprocessing, feature engineering, and model training at scale.
• Develop pipelines for continuous learning and model deployment.
• Collaborate with product and engineering teams to integrate AI solutions into applications.
• Monitor model performance, retrain, and optimize algorithms for accuracy and efficiency.

Requirements

• Strong background in machine learning, deep learning, and statistical modeling.
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with large-scale data processing and distributed training.
• Solid understanding of algorithms, optimization, and applied mathematics.
• Ability to translate business problems into ML solutions with measurable impact.