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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain end-to-end generative AI pipelines for personalized multilingual content generation and quality assurance.
Deploy, monitor, and optimize AI models in production environments using Azure AI services and container technologies.
Implement and refine model evaluation and feedback loops to continuously improve AI output quality and relevance.
Minimum Requirements
5-6 years of experience in AI/ML engineering or applied data science with hands-on machine learning model deployment.
Strong proficiency in Python and deep learning frameworks with expertise in generative models (e.g., Transformers, GPT-based models).
Experience with cloud AI services, especially Azure OpenAI Service and Azure Cognitive Services.
Familiarity with Hugging Face ecosystem and understanding of vector databases (e.g., pgvector, Pinecone).
Ideal Candidate Profile
Experienced in building scalable, production-grade AI services with monitoring and troubleshooting capabilities in cloud environments.
Skilled in prompt engineering, model fine-tuning, and implementing feedback loops for iterative model improvements.
Domain knowledge or interest in healthcare or marketing technology to address compliance, privacy, and domain-specific content challenges.