Gen AI (A5)(Job No 1118)

Description: We are seeking a Senior AI Engineer to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies.  

Key Responsibilities: •    Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. •    Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. •    Implement and manage end-to-end MLOps pipelines, including CI/CD, model

monitoring, retraining workflows, and versioning. •    Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure) •    Develop and maintain robust APIs for seamless AI/ML integration into enterprise systems •    Collaborate with cross-functional stakeholders to align AI solutions with business objectives •    Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment •    Develop and train Generative AI models •    Perform data analysis and prepare data for AI model training •    Integrate AI models with Snowflake, AWS and other systems

 5+ years of experience in AI/ML development and deployment, including leadership roles  •    Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models •    Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit and vector databases. •    Strong experience in building scalable (Gen) AI applications on AWS.  •    Strong background and understanding of vector databases.  •    Experience in building (Gen) AI solutions on Snowflake is a plus.  •    Good knowledge in Python for data science, as well as streamlit for rapid deployment of prototypes.  •    Good knowledge in Git.  •    Experience to work in an agile and international environment. •    Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. •    Good documentation and coaching practice.