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Large known employer and metro location with broad AI skillset attracts moderate competition.
Requires specialized generative AI and deployment expertise, reducing easy cross-industry transferability.
Multiple mandatory GenAI frameworks, cloud and deployment skills imply strict technical screening.
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Own design, development, and deployment of machine learning, deep learning, and generative AI models, including architecture and project execution on AWS, GCP, and Azure.
Collaborate with cross-functional teams to integrate generative AI into products/services and develop AI solutions for tasks like text generation, sentiment analysis, and chatbots.
Analyze data using generative AI techniques, evaluate AI model performance, ensure ethical AI use, and improve reporting and analysis practices.
Proficient in Python, SQL, and frameworks like Langchain; experience with Dataiku, Rest API, Flask API, and Fast API.
Hands-on experience deploying AI/ML projects on cloud platforms: AWS, GCP, and Azure.
Bachelor's or Master's degree in Business Analytics, Computer Science, Statistics, or Data Science.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with generative AI model architectures such as GANs, Variational Autoencoders, Transformers, and evaluation metrics specific to generative AI.
Ability to translate complex business requirements into actionable AI capabilities with consultative skills.
Familiarity with multiple large language models and AI deployment platforms such as GPT, LLaMA, Huggingface, Mistral, and AWS Bedrock.