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Well-known services brand, hybrid role, and popular GenAI skillset create moderate applicant competition.
Requires specialized GenAI, deep learning and cloud deployment skills, limiting cross-industry transferability.
Mandatory GenAI deployment experience, cloud requirement, and deep ML architecture expertise enforce strict filters.
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Design and develop machine learning and deep learning systems focused on enterprise-scale Gen AI solutions.
Lead AI/ML architecture, develop, test, and deploy Gen AI models on cloud platforms (AWS/GCP/Azure) to solve complex client business challenges.
Collaborate cross-functionally to translate AI research into production-ready products and features using advanced NLP, Agentic AI, RAG, and chatbot technologies (e.g., Rasa).
Professional experience in software development and running ML experiments with machine learning/deep learning systems.
Mandatory experience in development and deployment of Gen AI solutions on at least one cloud platform: AWS, GCP, or Azure.
Proficiency in Python and hands-on experience with AI/ML architecture including LLMs, Azure OpenAI, LangChain, and Agentic AI technologies.
Educational qualification: Bachelor’s or Master’s in Computer Science, Data Science, Business Analytics, or Statistics.
Demonstrated ability to integrate AI research and production, focusing on scalable, enterprise-grade Gen AI solutions in cloud environments.
Experienced in advanced NLP techniques, machine learning model lifecycle, and chatbot frameworks like Rasa.
Strong technical leadership with a strategic focus on designing transformative AI/ML architectures to address real-world business problems.