Design and implement scalable machine learning models for real-world applications such as NLP, computer vision, and recommendation systems.

Lead end-to-end AI solution development, from data preprocessing to deployment and monitoring.

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (PhD preferred)

• 5+ years of experience in AI/ML or software engineering with a strong portfolio of deployed models

• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

• Deep understanding of supervised, unsupervised, and reinforcement learning techniques

• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow)

• Strong knowledge of data structures, algorithms, and software engineering principles

• Excellent problem-solving, communication, and leadership skills

• Design and implement scalable machine learning models for real-world applications (e.g., NLP, computer vision, recommendation systems)

• Lead end-to-end AI solution development: data preprocessing, model training, evaluation, deployment, and monitoring

• Collaborate with cross-functional teams including Data Science, Product, and Engineering to integrate AI into products

• Research and prototype new algorithms and techniques to solve complex problems

• Optimize models for performance, accuracy, and efficiency in production environments

• Mentor and guide junior AI engineers and data scientists

• Stay current with the latest AI trends, tools, and technologies