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.