You can hire generative AI engineers or developers with core skill sets which are needed to build, fine-tune, deploy, and optimize GenAI solutions. Here is an overview of the skill sets our generative AI engineers possess:

Programming and Software Development Skills: They are proficient with programming languages such as Python, R, or JavaScript and have hands-on experience with trending frameworks & libraries such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.

Machine Learning (ML) and Deep Learning (DL) Skills: They have deep understanding of neural networks, transformers, reinforcement learning, and attention mechanisms.

Generative AI Techniques: The generative AI engineers or developers are well-aware with large language models such as GPT, Claude, PaLM, Dall-E, and LLaMA etc. They are also familiar with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models.

Data Engineering and Management Skills: Our resources are skilled in preparing and cleaning datasets for training large models. They have expertise in building scalable data workflows using tools like Apache Spark or Databricks.

Cloud and Deployment Skills: Our generative AI engineers have hands-on experience with Azure OpenAI, AWS SageMaker, or Google Cloud AI.

Additional Skills for Model Deployment, Optimization, and Performance Tuning: They have prior knowledge in using Docker, Kubernetes, and REST APIs for scalable deployment. The engineers are well-equipped with the techniques to optimize inference speed and memory usage, optimizing model parameters for better accuracy and efficiency.

Domain Knowledge (Industry-Specific): Our talent pool has resources with domain specific knowledge. We know that having business acumen and understanding the industry operations play a vital role in the application development process. Our resources have prior knowledge in applying generative AI models to specific industry problems such as Finance, Healthcare, Education, Travel, HR & Recruitment.