<p><p><b>AI Engineer :</b></p><p><p><b><br/></b></p>In this role, we are seeking a highly skilled and experienced <b>AI Engineer</b> with hands-on expertise in<b>Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface, Agentic AI, and</b><b>Advanced Data Pipelines.
It's platforms semantic kernel, autogen, :</b><br/><br/></p><p>- Architect and implement advanced generative AI models, focusing on applications such as image<br/>and text generation, image and document extraction, RAG, Prompt engineering, and synthetic<br/>data generation.<br/><br/></p><p>- Advanced Prompt Engineering techniques.
Stay at the forefront of AI/ML and generative AI<br/>advancements, driving the adoption of new technologies and best practices within the team.<br/><br/></p><p>- Develop, fine-tune, and optimize generative AI models, ensuring they meet performance,<br/>scalability, and business objectives.
Firm grasp on tools to compare outputs of each model and<br/>compare against each other.<br/><br/></p><p>- Apply solid data science principles to enhance AI/ML models, using statistical analysis and<br/>machine learning techniques to improve model accuracy and efficiency.<br/><br/></p><p>- Work closely with data engineers, software developers, and product managers to integrate<br/>generative AI models into products and services, aligning with business objectives.<br/><br/></p><p>- Ensure that AI models are designed and deployed with ethical considerations, adhering to<br/>industry standards and regulatory requirements.<br/><br/><b>Minimum Qualifications/Skills :</b><br/><br/></p><p>- Bachelors or Masters degree in computer science, AI, Machine Learning, Data Science, or a<br/>related field, with 5+ years of experience in AI/ML, particularly with generative AI models.<br/><br/></p><p>- Strong expertise in developing and deploying generative AI models.
Proficiency in Python and<br/>experience with AI development libraries such as TensorFlow and PyTorch.
Experience with<br/>Azure OpenAI, Open Source LLMs, and LangChain.<br/><br/>- Solid experience in applying data science principles, including statistical analysis, data<br/>preprocessing, and machine learning, to enhance AI/ML models.<br/><br/><b>Preferred Qualifications/ Skills :</b><br/><br/></p><p>- Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG),<br/>fine-tuning, prompt engineering, and zero-shot learning.<br/><br/></p><p>- Familiarity with NLP or computer vision related to generative AI applications.</p><br/></p> (ref:hirist.tech)