Generative ai engineer

2 weeks ago


Noida, India Trantor Full time

Shift Timings: UK ShiftHybrid from Noida OfficeJob ResponsibilityIn this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise inGenerative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface, Agentic AI, andAdvanced Data Pipelines. It's platforms semantic kernel, autogen, langchain.Responsibilities● Architect and implement advanced generative AI models, focusing on applications such as imageand text generation, image and document extraction, RAG, Prompt engineering, and syntheticdata generation.● Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AIadvancements, driving the adoption of new technologies and best practices within the team.● Develop, fine-tune, and optimize generative AI models, ensuring they meet performance,scalability, and business objectives. Firm grasp on tools to compare outputs of each model andcompare against each other.● Apply solid data science principles to enhance AI/ML models, using statistical analysis andmachine learning techniques to improve model accuracy and efficiency.● Work closely with data engineers, software developers, and product managers to integrategenerative AI models into products and services, aligning with business objectives.● Ensure that AI models are designed and deployed with ethical considerations, adhering toindustry standards and regulatory requirements.Qualifications we seek in youMinimum Qualifications / Skills● Bachelor’s or Master’s degree in computer science, AI, Machine Learning, Data Science, or arelated field, with 5+ years of experience in AI/ML, particularly with generative AI models.● Strong expertise in developing and deploying generative AI models. Proficiency in Python andexperience with AI development libraries such as Tensor Flow and Py Torch. Experience withAzure Open AI, Open Source LLMs, and Lang Chain.● Solid experience in applying data science principles, including statistical analysis, datapreprocessing, and machine learning, to enhance AI/ML models.Preferred Qualifications/ Skills● Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG),fine-tuning, prompt engineering, and zero-shot learning.● Familiarity with NLP or computer vision related to generative AI applications.



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