Gen AI-Solution Architect

Responsibilities:

Design Solutions and implement generative AI models and algorithms, utilizing state-of-the-art algorithms such as GPT, VAE, and GANs.

Work on integrating the cloud GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc.

Prompt Engineering for GenaAI algorithms

Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.

Optimize existing generative AI models for improved performance, scalability, and efficiency.

Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Drive the team to build GenAI products/Solutions

Should have experience working in Agile methodology

Tech Skills :

You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.

Deployment of GenAI models

Scrum/ Agile