Job Description

As a Machine Learning Engineer within the Data Acquisition (DA) Team, you will use your ML expertise to develop, deploy, and optimize solutions in collaboration with DA software engineering. You will work closely within this cross-functional team to design, implement, and scale machine learning solutions that address key business challenges.

Responsibilities

• Engage cross functionally to innovate solutions for data collection, scaling, and normalizing
• Stay up-to-date with the latest advancements in machine learning and AI
• Choose the right LLMs, strategy for deployment and use
• Collaborate with data engineers to build and maintain robust data pipelines
• Implement and manage MLOps practices
• Work closely with software engineers, product managers, and other stakeholders

Requirements

• 3+ years of experience in machine learning, with a strong focus on model development and MLOps, including a proven track record of working with large language models (LLMs)
• Proficiency in programming languages such as Python, Java, or Go
• Strong understanding of machine learning frameworks and libraries
• Experience with MLOps tools and platforms
• Familiarity with cloud services
• Excellent analytical and problem-solving skills
• Strong verbal and written communication skills
• Demonstrated ability to work effectively in a collaborative team environment

Benefits

• No benefits