1. Collaborate with cross-functional teams to conceptualize and develop Generative AI solutions.·
2. Design, train, and optimize Generative models to meet project objectives and performance benchmarks.
3. Draft, refine, and test text prompts to ensure desired outcomes.
4. Optimize text prompts based on client feedback.
5. Implement and integrate Generative AI solutions into existing systems, ensuring seamless functionality and scalability.
6. Conduct thorough analysis and evaluation of model performance, including testing for functionality, accuracy, and robustness.
7. Stay updated with the latest advancements in Generative AI research and technology, integrating relevant findings into projects.
8. Establish organizational standards and best practices for Generative AI development.
9. Continuously optimize existing Generative AI models to enhance performance, scalability, and efficiency.
1. Bachelor's degree or higher in Computer Science, Engineering, or related field.
2. Experience in developing and implementing AI/ML models.
3. Proficiency in Python.
4. Experience with AWS cloud platform and services, including SageMaker, DynamoDB, Lambda, etc.
5. Solid understanding of machine learning techniques and algorithms, particularly in the realm of Generative models.
6. Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
7. Strong communication skills, with the ability to effectively convey complex technical concepts to diverse stakeholders.
1. Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or related field.
2. Knowledge of continuous integration/continuous deployment (CI/CD) pipelines for AI/ML projects.