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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement end-to-end AI/ML solutions including data preparation, model development, and production deployment.
Develop and deploy NLP and Generative AI (GenAI) applications, including RAG systems and agentic AI, while monitoring model performance and retraining as needed.
Guide development teams on ML use case implementation and ensure Responsible AI principles are applied across workflows.
Minimum Requirements
Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Hands-on experience in AI/ML solution development with emphasis on NLP and Generative AI techniques.
Experience with cloud AI services on Azure, AWS, or GCP is required.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in deploying and monitoring AI/ML models using MLOps tools like Azure ML or AWS SageMaker.
Skilled in integrating GenAI capabilities into enterprise applications, preferably with Microsoft Copilot Studio experience.
Familiarity with Python-based web frameworks (Flask, Django) and containerization technologies (Kubernetes, Docker) is preferred.