About the Role
A Generative AI (GenAI) Engineer designs, develops, and deploys AI models (like GANs, VAEs, LLMs) to create new data, content, or solutions. They specialize in fine-tuning, training, and integrating models with existing systems, enhancing productivity across sectors like tech, finance, and media. Key skills include Python, NLP, and model optimization.
Requirements
- Technical Expertise: Strong proficiency in Python, and frameworks such as TensorFlow or PyTorch.
- Background: Deep understanding of machine learning, neural networks, and generative modeling techniques.
- Experience: Proven experience with NLP (natural language processing) and computer vision.
- Collaboration: Ability to work with cross-functional teams to translate business requirements into technical solutions
Responsibilities
- Model Development: Designing, training, and fine-tuning GenAI models (GANs, VAEs, Transformers) for specific use cases.
- Data Processing: Managing datasets, implementing chunking, embeddings, and generating synthetic data for training.
- System Integration: Integrating AI models into production applications and cloud platforms.
- Performance Optimization: Monitoring, evaluating, and improving model accuracy and output quality.
- Research: Staying current with advancements in AI/ML to apply cutting-edge techniques.