AI Engineer

Duties and Responsbilities

• 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 and Experience

• 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.

Desired Skills and Experience

• Experience in the Automotive Industry is highly desirable.