Machine Learning Engineer • Lead

Who you are

You have a strong background in machine learning and software engineering, with at least 5 years of experience in building and deploying ML models. Your expertise in Python and data analysis allows you to tackle complex data challenges effectively. You are familiar with modern AI tools and have a keen interest in areas such as LLMs and Generative AI. You thrive in collaborative environments, working closely with cross-functional teams to drive product quality and user experience. You are results-oriented, focusing on delivering measurable business outcomes through your technical contributions. You understand the importance of integrating ML models into production systems and monitoring their performance.

Desirable

Experience with cloud platforms and ML infrastructure is a plus. Familiarity with statistical techniques and data pipeline design will enhance your ability to contribute to the team. A passion for AI and its applications in professional services will help you align with the company's mission.

What you'll do

In this role, you will take ownership of high-impact initiatives that enhance product performance and monetization. You will build, train, and deploy machine learning models, ensuring they are integrated into production systems effectively. Collaborating with data, product, and engineering teams, you will design and implement data pipelines for extraction, transformation, and analysis. You will apply statistical and machine learning techniques to solve real-world business problems, analyzing large datasets to identify trends and optimization opportunities. Your work will involve projects related to LLMs and Generative AI technologies, contributing to the evolution of Pearl's AI-driven capabilities.

What we offer

JustAnswer provides a dynamic work environment where you can make a significant impact on the company's AI initiatives. You will have the opportunity to work on complex data challenges and shape the future of AI in professional services. The role offers flexibility with remote work options, allowing you to balance your professional and personal life effectively. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.