Picture yourself crafting data pipelines and applications that harness the power of computer vision and text mining, interfacing with large language models like GPT-4, LLAMA 2, Falcon for tasks such as sentiment analysis, and natural language generation.
Visualize spending your days engrossed in the art of Engineering data pipelines for making data available to systems at a brisk pace and in secured environment.
You should be comfortable to code data pipelines in Java and Python programming languages.
Utilize top-notch cluster frameworks such as Apache Spark and data pipelines like Kafka.
Embrace the cloud, deploying and maintaining data science solutions on platforms like Azure, AWS, GCP, ensuring quality, performance, and reliability.
Has hands-on experience of working in Agile and SCRUM practices and comfortable in using GIT for managing and collaborating on large code base.
