AI Innovation Specialist

3 days ago

lucknow, India beBeeGenerativeaiengineer Full time

Generative AI Engineer RoleA specialized artificial intelligence professional, focused on designing and developing generative AI models. Collaborating with the team to meet project deadlines.Design and deploy Generative AI models for enterprise use cases, such as conversational AI and text generation.Develop Large Language Model (LLM)-based applications including chatbots, summarization, document Q&A, report generation, and code assistants.Apply prompt engineering and context-aware pipelines to ensure accuracy and relevance in AI model deployment.Integrate AI models with enterprise systems using Python or Java backends for seamless interaction.Key Responsibilities:Implementing AI/ML pipelines for model training, validation, and deployment.Managing model evaluation, drift monitoring, and continuous improvement processes to maintain high-quality AI solutions.Optimizing inference performance and cost-effectiveness of AI models.Ensuring compliance with AI ethics, security, and governance standards in all AI-related projects.Preparing training datasets and applying data preprocessing techniques to enhance AI model performance.Collaborating with vector databases for semantic retrieval use cases, utilizing natural language processing (NLP) expertise.Requirements and Qualifications:To succeed as a Generative AI Engineer, you should have the following skills and qualifications:Proficiency in programming languages like Python, Java, and relevant libraries and frameworks.Familiarity with machine learning platforms, tools, and technologies, including TensorFlow, PyTorch, and scikit-learn.Understanding of large language models, their architecture, and application in various industries.Experience with conversational AI, text generation, and content creation.Familiarity with database management systems, data warehousing, and data analytics.Excellent problem-solving and analytical skills, with the ability to debug complex AI issues.This role requires a strong foundation in AI and ML concepts, combined with hands-on experience in developing and deploying AI models. If you're passionate about pushing the boundaries of AI innovation, we encourage you to apply.

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