Generative AI Engineer

Locations: Kolkata/Chennai/Pune/New Delhi

Experience: 7-10 Years

Role:

Must-Have:

1. Proficiency in programming languages like Python, and AI/ML frameworks such as TensorFlow and PyTorchCloud Platforms:

   Experience with platforms like Azure AI Foundry and related services such as Azure OpenAI, Azure AI Search, and Azure service.
2. Experience with AI/ML concepts, including deep learning, natural language processing (NLP), and related algorithms.
3. Familiarity with large language model (LLM) frameworks like Langchain.
4. Experience with cloud platforms and AI services (e.g., Azure Cognitive Services, AWS SageMaker).
5. Frameworks

   :

   Experience with agentic frameworks and building automated workflows

Expectations From The Role:

Model development:

• Design, develop, and implement generative AI models, including LLMs, GANs, and VAEs, for tasks like text, image, and other content generation.

Data management:

• Collect, clean, and preprocess large datasets, create synthetic data, and handle data storage and retrieval for model training

Fine-tuning and optimization:

• Fine-tune models on custom datasets to improve accuracy and relevance, and optimize them for performance and scalability.

Deployment:

• Build and deploy AI applications and models on cloud platforms such as AWS, Azure, or GCP.

Integration:

• Integrate AI models with existing applications and data to enhance functionality.

AI pipeline management:

• Develop and maintain end-to-end AI pipelines, including data preprocessing, feature extraction, model training, and evaluation