Generative AI Engineer
Take2 provides IT services and staff augmentation to both Federal and commercial clients. Our work environment is characterized by innovation, collaboration, and a strong focus on rewarding our employees. We are proud to have been recognized by the Inc. 5000 for five consecutive years as one of the nation’s fastest-growing companies, and we have also been honored with awards such as the Washington Business Journal Best Places to Work and Virginia Business Best Places to Work. In addition, we have made it onto the Washington Business Journal Fast 75 list for the last two years.
We are currently looking for a Generative AI Engineer to support our commercial clientele in Deerfield Beach, FL.
Job Description:
- Strong background in machine learning and deep learning algorithms.
- Proficiency in Python, TensorFlow, and PyTorch for developing AI models.
- Experience in generative AI techniques such as GANs and VAEs.
- Ability to design and implement scalable and efficient AI systems.
- Advanced knowledge of natural language processing for text generation tasks.
- Familiarity with computer vision and image generation using AI.
- Skills in data preprocessing and feature engineering for AI model training.
- Strong understanding of neural network architectures and optimization techniques.
- Experience in deploying AI models into production environments.
- Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.
- Design and develop algorithms for generative models using deep learning techniques.
- Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.
- Optimize and fine-tune generative models for performance and efficiency.
- Troubleshoot and resolve issues related to generative AI models and implementations.
- Create and maintain documentation for generative AI models and their applications.
- Communicate complex technical concepts and findings to non-technical stakeholders.
