Senior ML Engineer — Build Scalable AI Pipelines

Jobtailor; California (MO); On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor is seeking a Machine Learning Engineer to design, develop, and deploy ML models and scalable pipelines for enterprise products. You will collaborate with data scientists, software engineers, and product teams to translate complex data into actionable insights.

Responsibilities include ensuring data quality, deploying models to production, monitoring performance, and continuously optimizing models to improve customer experiences.

Qualifications

• 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Familiarity with tools for data processing and model deployment.
• Several years of experience designing, implementing, and deploying machine learning models.
• Recent graduate: graduated within the past 12 months or graduating by Spring 2027.
• PhD degree in Computer Science or a related field from an accredited college or university.
• Must be legally able to work without PayPal visa sponsorship; visa sponsorship is not available now or in the future

Responsibilities

• Design, develop, and deploy ML models and algorithms for complex problems.
• Collaborate with data scientists, software engineers, and product teams on AI/ML solutions.
• Build scalable ML pipelines and ensure data quality.
• Deploy models to production environments and monitor performance.
• Preprocess and analyze large datasets to drive business insights and improve customer experiences.

Skills

Machine Learning

Model Deployment

Data Analysis

Algorithm Design

Model Optimization

Education

Bachelor's Degree

PhD in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Jobtailor is seeking a Machine Learning Engineer to design, develop, and deploy ML models and scalable pipelines for enterprise products. You will collaborate with data scientists, software engineers, and product teams to translate complex data into actionable insights.

Responsibilities include ensuring data quality, deploying models to production, monitoring performance, and continuously optimizing models to improve customer experiences.