AI Engineer

Job Description

• Lead the effort to leverage existing AI models and frameworks to solve business problems across domains. • Collaborate with cross-functional teams to understand requirements and translate them into AI solutions. • Fine-tune and optimize existing AI models for specific use cases and applications. • Explore and experiment with various AI models, libraries, and techniques to find the best approach for solving specific problems. • When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision. • Work closely with data scientists and software engineers to integrate AI solutions into existing systems and workflows. • Continuously monitor and evaluate the performance of deployed AI models and make improvements as necessary. • Document and communicate technical designs, processes, and best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Master's or PhD preferred. • Minimum of 5+ years of experience in leveraging existing AI models and frameworks to solve real-world problems. • Strong programming skills in languages such as Python, Java, or C++. • In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies. • Experience with data preprocessing, feature engineering, and model evaluation techniques. • Proficiency in software development best practices, version control systems, and agile methodologies. • Excellent problem-solving skills and ability to think critically and analytically. • Strong communication skills and ability to collaborate effectively with cross-functional teams. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service