Job Description
Locations: Kolkata/Chennai/Pune/New Delhi
Experience: 7-10 Years
Role: Gen AI Engineer
Must-Have:
Proficiency in programming languages like Python, and AI/ML frameworks such as Tensor Flow and Py Torch Cloud Platforms: Experience with platforms like Azure AI Foundry and related services such as Azure Open AI, Azure AI Search, and Azure service.
Experience with AI/ML concepts, including deep learning, natural language processing (NLP), and related algorithms.
Familiarity with large language model (LLM) frameworks like Langchain.
Experience with cloud platforms and AI services (e.g., Azure Cognitive Services , AWS Sage Maker ).
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
Experience: 7-10 Years
Role: Gen AI Engineer
Must-Have:
Proficiency in programming languages like Python, and AI/ML frameworks such as Tensor Flow and Py Torch Cloud Platforms: Experience with platforms like Azure AI Foundry and related services such as Azure Open AI, Azure AI Search, and Azure service.
Experience with AI/ML concepts, including deep learning, natural language processing (NLP), and related algorithms.
Familiarity with large language model (LLM) frameworks like Langchain.
Experience with cloud platforms and AI services (e.g., Azure Cognitive Services , AWS Sage Maker ).
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
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