Description

You will build machine learning and generative AI solutions to drive technology process improvements, focusing on cloud computing, knowledge bots, and software code assistants.

Responsibilities

• Build and define ML and Generative AI systems, including AI assistants for SDLC tasks and data infrastructure management.
• Design and develop scalable ML engineering solutions and generative AI applications.
• Fine-tune Large Language Models (LLMs) and implement prompt engineering techniques to enhance performance.
• Collaborate with cross-functional teams to identify process improvement opportunities using machine learning.
• Research and implement the latest advancements in Generative AI to improve data and technology management.

Required Skills

• 5+ years of experience in software engineering with a focus on ML engineering.
• Proficiency in Python, Java, and Scala.
• Experience with Google Cloud, BigQuery, Hadoop, and Spark.
• Hands-on experience with Generative AI applications, LLMs, and prompt engineering.
• Knowledge of vector databases, embeddings, and LLM fine-tuning techniques.
• Practical experience with Git and software engineering best practices, including code reviews and testing.
• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field.

Key Skills

Education

Any Graduate