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Software Engineer
- 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.
- Proficiency in programming languages like Python.
- Familiarity with prompt engineering techniques.