Senior Data Engineer

Zume Search Llc; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Fully remote

Competitive compensation

Comprehensive benefits package

Job summary

Zume Search LLC is seeking an experienced ML Engineer to own production ML systems, analyze large datasets, and translate findings into product improvements. You will work on data pipelines, model training, evaluation, and deployment in a fast-growing AI-driven environment.

This fully remote role offers a collaborative team of experienced technologists, exposure to cutting-edge ML and data engineering challenges, and a comprehensive benefits package.

Qualifications

• 6+ years of software engineering experience in production environments.
• 3+ years owning machine learning or AI systems end-to-end, including data, training, evaluation, deployment, and monitoring.
• Strong Python development skills with a focus on production-quality code.
• Experience with ML frameworks such as PyTorch or similar technologies.
• Strong analytical and data science capabilities, including statistics, anomaly detection, clustering, and exploratory analysis.
• Experience building data pipelines and working with large-scale datasets using SQL and modern data platforms.
• Experience deploying and supporting LLM-powered applications in production environments.
• AWS cloud experience including serverless, containerized workloads, and infrastructure automation.
• Strong written and verbal communication skills.

Responsibilities

• Own and maintain machine learning models and production inference pipelines.
• Monitor and improve system performance, including latency, accuracy, model drift, and operational health.
• Build and maintain data pipelines and dataset refresh processes to support model training and evaluation.
• Design testing and evaluation frameworks that validate model performance prior to deployment.
• Establish engineering best practices for machine learning applications, including testing, observability, and maintainability.
• Perform data analysis and develop reporting that provides meaningful business and operational insights.
• Partner with product, engineering, and customer-facing teams to translate data findings into new features and capabilities.
• Communicate research findings and technical recommendations to both technical and non-technical audiences.

Skills

Software engineering

Machine learning systems

Python

PyTorch

Data pipelines

SQL

LLM deployment

AWS

Communication

Job description

Our client is a fast-growing technology company leveraging artificial intelligence, machine learning, and large-scale data engineering to solve complex digital challenges. This is an opportunity to join a small, high-impact engineering team where you'll help build and scale data and machine learning platforms that process massive amounts of information and deliver actionable insights.

If you're excited by the idea of owning production ML systems, analyzing large datasets, and influencing both product strategy and technical direction, we'd love to connect.

What You'll Do

This role combines machine learning engineering, data engineering, and applied data science.

• Own and maintain machine learning models and production inference pipelines.
• Monitor and improve system performance, including latency, accuracy, model drift, and operational health.
• Build and maintain data pipelines and dataset refresh processes to support model training and evaluation.
• Design testing and evaluation frameworks that validate model performance prior to deployment.
• Establish engineering best practices for machine learning applications, including testing, observability, and maintainability.
• Perform data analysis and develop reporting that provides meaningful business and operational insights.
• Partner with product, engineering, and customer-facing teams to translate data findings into new features and capabilities.
• Communicate research findings and technical recommendations to both technical and non-technical audiences.

What We're Looking For

• 6+ years of software engineering experience in production environments.
• 3+ years owning machine learning or AI systems end-to-end, including data, training, evaluation, deployment, and monitoring.
• Strong Python development skills with a focus on production-quality code.
• Experience with machine learning frameworks such as PyTorch or similar technologies.
• Strong analytical and data science capabilities, including statistics, anomaly detection, clustering, and exploratory analysis.
• Experience building data pipelines and working with large-scale datasets using SQL and modern data platforms.
• Experience deploying and supporting LLM-powered applications in production environments.
• AWS cloud experience including serverless, containerized workloads, and infrastructure automation.
• Strong written and verbal communication skills.
• Ability to work independently, make sound technical decisions, and drive projects forward.

Preferred Experience

• Cybersecurity, threat intelligence, fraud detection, or risk analytics.
• Digital advertising, media technology, or other high-volume data environments.
• Computer vision or multimodal machine learning applications.
• Real-time anomaly detection systems.
• MLOps tools including experiment tracking, feature stores, and model lifecycle management.

What You'll Get

• Fully remote work environment.
• Opportunity to make a visible impact within a growing business.
• Exposure to cutting-edge AI, machine learning, and data engineering challenges.
• Collaborative team of experienced technology professionals.
• Competitive compensation and comprehensive benefits package.
• Flexible scheduling and strong work-life balance.