Senior Data Engineer, AI/ML

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not provided
• Job Type: Senior Data Engineer (Machine Learning & AI)

The Data Engineering team at Mural builds scalable, high-performance systems that transform complex data into actionable insights. This team powers internal analytics and user-facing features, supporting critical products like Customer Insights, Personalization, Reporting APIs, and Audit Logs. Success is measured by system reliability, scalability, and the business impact delivered – enabling users to make informed decisions and driving overall customer success.

Your Mission

As a Senior Data Engineer specializing in Machine Learning and AI on the Data Engineering team, you will drive product innovation by leveraging advanced AI/ML techniques. You’ll design, develop, and optimize intelligent solutions that power everything from personalized experiences to advanced data-driven insights.

What You'll Do

• Design, implement, and deploy AI/ML solutions that power personalized recommendations, reporting insights, and other innovative product features, ensuring scalability, performance, and continuous evolution.
• Develop advanced analytics tools to analyze and visualize customer behavior and key metrics, enabling data-driven decision-making and enhancing reporting accuracy.
• Collaborate with cross-functional teams to define product requirements and deliver end-to-end AI solutions, ensuring smooth integration of AI into products and services.
• Prototype, implement, and maintain team projects and features.
• Build flexible and maintainable solutions while being accountable for quality, performance, and reliability.
• Elevate the team’s skills and knowledge by participating in technical designs and talks and reviewing and helping improve your and your colleague’s code.
• Contribute to constantly improving the team’s processes and best practices.

What You'll Bring

• Experience: 4+ years of experience building and deploying large-scale AI/ML solutions as part of an agile engineering team, with a focus on personalization, predictive modeling, and automated decision-making.
• Data Engineering: Strong experience in data engineering, including building and maintaining data pipelines, integrating data for model training, and deploying models on cloud platforms (AWS, Azure, Databricks).
• ML Frameworks: Proficiency with ML frameworks (TensorFlow, PyTorch, Hugging Face) and familiarity with OpenAI and open-source LLMs (e.g., GPT, BERT).
• Machine Learning Techniques: Expertise in machine learning techniques such as unsupervised learning, reinforcement learning, and deep learning, along with a strong ability to optimize AI models for scalability and efficiency in production environments.
• Programming Languages: Proficiency in Python, JavaScript (Node.js), SQL.