- Led initiatives to apply existing AI models and frameworks to address business challenges across multiple domains.
- Collaborated with cross-functional teams to gather requirements and translate them into AI-driven solutions.
- Fine-tuned and optimized AI models to suit specific use cases and applications, ensuring maximum performance.
- Experimented with a variety of AI models, libraries, and techniques to identify the most effective solutions for complex problems.
- Developed custom AI solutions using techniques such as machine learning, deep learning, natural language processing, and computer vision when necessary.
- Partnered with data scientists and software engineers to seamlessly integrate AI solutions into existing systems and workflows.
- Continuously monitored the performance of deployed AI models, making necessary improvements and optimizations.
- Documented technical designs, processes, and best practices to ensure clarity and efficiency across projects.
**Qualifications and Experience:**
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's or PhD preferred).
- Proficient in programming languages such as Python, Java, or C++.
- Extensive knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies.
- Skilled in data preprocessing, feature engineering, and model evaluation methods.
- Familiar with software development best practices, version control, and agile methodologies.
- Strong problem-solving abilities with critical and analytical thinking.
- Excellent communication skills, with a proven track record of collaborating with cross-functional teams.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) is advantageous.
**Desired Skills:**
- Experience in the automotive industry is highly desirable.