Senior Machine Learning Engineer, LLMs & Prompt Engineering (New…

Overview

To expand our product lineup, we are looking for a senior machine learning engineer who mainly focuses on prompt engineering to join our team that works for new services.

You will mainly be responsible for developing a new product utilizing machine learning techniques and generative AI from a proof of concept into a releasable product.

Responsibilities
• Create effective prompts to maximize the quality of the output from LLMs based on the product specifications.
• Build our machine learning models using data relevant to the software testing if needed.
• Work with other engineers, designers, and product leads to implement various features while considering performance, security, and reliability.
• Create PoC Web/CLI applications that use LLMs or ML under the hood to validate the feasibility of ideas.
• Proactively identify functions that can be improved, and suggest possible solutions in the technical aspects and product-related ideas.
• Participate in on-call rotations for incident… & alert handling

Requirements
• Being able to work in Japan standard time (Working partially in JST can be discussed)
• Over two years of experience in training and customizing deep learning models, especially LLMs.
• Over a year of experience in prompting open-source and closed-source LLMs.
• Experience in developing APIs with FastAPI and Python.
• Up to date with the latest Machine Learning Research especially on LLMs and Prompt Engineering.
• Experience in building metrics for evaluating various tasks LLMs.

Nice to haves

While not specifically required, tell us if you have any of the following.
• Knowledge of natural language processing and visual recognition
• Proficient in the process of analyzing, hypothesizing, and testing
• Experience in MLOps
• Modern development experience with Agile or Scrum.
• Experience in E2E test automation with Selenium and Appium

Company:

Autify

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, Natural Language Processing, NLP, Unspecified