Strong proficiency in SQL and Python, with practical experience in building Data Analytics Dashboards like GCP Looker Studio
Basic Knowledge related to Dealer applications in Automotive Space (Knowledge in Ford Dealer applications is a plus)
Develop and optimize prompts for various applications (e.g., content generation, code generation, question answering, chatbots).
Stay up-to-date with the latest advancements in AI and Prompt Engineering techniques.
Work with APIs and other tools to interact with LLMs.
Collaborate with engineers, researchers, product managers, and other stakeholders to define requirements and goals.
Communicate findings and insights effectively to both technical and non-technical audiences.
Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals.
Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
Ability to wear multiple hats like Software engineer, Product Manager
Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
Evaluate the quality and accuracy of model outputs using quantitative and qualitative metrics.
Analyze data to identify patterns and areas for improvement in prompt design.
Develop evaluation datasets and benchmarks.
Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience). Master's degree is preferred
Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
Strong understanding of AI, machine learning, and natural language processing (NLP).
Experience working with large language models (LLMs) such as GPT-3, LaMDA, etc.