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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy machine learning and generative AI models addressing business needs using large-scale datasets.
Develop and fine-tune Large Language Model (LLM) solutions such as GPT-3 or GPT-4 for real-world applications.
Implement cloud-based AI solutions on platforms like Azure, AWS, or GCP ensuring scalability and efficiency, collaborating across engineering, product, and business teams.
Minimum Requirements
Proficiency in Python, SQL, and AI/ML libraries including Scikit-learn, TensorFlow, PyTorch, Keras, and AutoML.
Experience with generative AI, Large Language Models (LLMs), and NLP techniques (text summarization, sentiment analysis).
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong hands-on experience in developing and deploying AI/ML models with generative AI and large-scale language models.
Familiarity with cloud AI services and ability to implement scalable AI solutions on Azure, AWS, or GCP.
Capable of collaborating effectively with cross-functional teams to translate business requirements into AI-driven approaches.