Description

You will develop and test machine learning solutions and generative AI applications, focusing on scalability and maintainability.

Responsibilities

• Build and test machine learning and generative AI systems.
• Implement prompt engineering techniques to fine-tune LLMs for specific application needs.
• Perform QA testing for generative AI applications and assist with product user engagement.
• Collaborate with data scientists, product partners, and developers to identify machine learning opportunities.

Required Skills

• 3 to 6 years of experience in software engineering with a focus on ML engineering and generative AI.
• Proficiency in Python, Java, or Scala.
• Experience with LLMs, prompt engineering, and vector databases.
• Proven experience developing Retrieval Augmented Generation (RAG) applications.
• Experience with Google Cloud, BigQuery, Hadoop, and Spark.
• Hands-on experience with ChatBots, CI/CD, and Docker.
• Knowledge of version control, APIs, and testing methodologies.
• Ability to query and search vector databases such as Milvus.
• Experience working with various embedding models.

Preferred Skills

• Experience with LangChain or LlamaIndex.
• Experience with Llama models.

Key Skills

Education

Any Graduate