Principal AI Engineer

What you'll do

• Design, develop, and deploy advanced machine learning models and algorithms for product and system applications.
• Translate technical specifications into production code using Python, Java, or C++.
• Architect scalable AI systems using distributed computing frameworks and cloud services.
• Perform data pre-processing, feature engineering, and data mining to extract insights from structured and unstructured data.
• Lead research initiatives to explore novel AI technologies and evaluate new algorithms.
• Provide technical leadership and mentorship to junior engineers through code reviews and guidance.
• Create high-level presentations and reports to communicate technical strategies to executive stakeholders.
• Oversee design review sessions to ensure consistency and adherence to best practices across projects.

What we're looking for

• Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or a related quantitative discipline.
• 8+ years of experience in AI and Machine Learning.
• Proficiency in Python, Java, or C++ with knowledge of software engineering best practices.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit.
• Solid understanding of supervised/unsupervised learning, deep learning, reinforcement learning, NLP, computer vision, and statistical modeling.
• Expertise in deep learning techniques and architectures such as CNN, RNN, and GAN (preferred).
• Experience in guiding and mentoring other engineers.
• Experience in leading research initiatives, publishing research papers, or contributing to open-source projects in AI.