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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and deploy scalable AI/ML and Generative AI solutions including Large Language Model applications and Retrieval-Augmented Generation architectures.
Build and optimize data pipelines and APIs to support AI model training, inference, and enterprise integration.
Implement MLOps practices and collaborate with data engineers, software developers, and business stakeholders to ensure AI solutions meet business needs and governance standards.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills in Python and SQL.
Experience with Large Language Models (OpenAI, Anthropic, Llama, etc.) and prompt engineering.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in developing and deploying AI solutions involving advanced ML models, generative AI, and RAG architectures in enterprise settings.
Proficient in building scalable data pipelines and integrating AI models with enterprise applications using REST APIs and microservices.
Familiar with MLOps best practices including model lifecycle management, validation, and use of containerization tools like Docker and Kubernetes.