Junior AI/ML Engineer: LLM Pipelines & Production Models

Jobtailor; California (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor is seeking a data science professional to design, train, and deploy ML models for search and recommendations, and to build agentic AI pipelines that orchestrate LLMs, tools, and retrieval across enrichment, content generation, and internal workflows.

You will own the full model lifecycle, collaborate with engineering, product, and marketing, and evaluate performance with offline metrics and online tests, while staying current with AI advances.

Qualifications

• Bachelor's or Master's in a quantitative field with ML/data experience
• Strong ML fundamentals and experiment design
• Hands-on PyTorch DL training experience
• Familiarity with Hugging Face Transformers or TensorFlow
• Proficiency in Python and SQL for large datasets
• Git/GitHub and Jenkins CI/CD workflows
• Experience building LLM-based AI pipelines
• Experience with Databricks/AWS/GCP
• Good communication skills for non-technical stakeholders
• Experience with e-commerce or retail product data and search/retrieval

Responsibilities

• Design, train, evaluate, and deploy ML/DL models for search, recommendations, and product experiences
• Build and maintain agentic AI pipelines orchestrating LLMs, tools, and retrieval
• Write Python and SQL to build training data, features, and evaluation sets
• Own the full model lifecycle: versioning in GitHub, automated training and deployment via Jenkins, monitoring
• Collaborate with engineering, product, and marketing to integrate models into production
• Evaluate model performance with offline metrics and online A/B tests
• Stay current with AI/ML advancements and apply emerging techniques

Skills

Machine Learning Fundamentals

Deep Learning with PyTorch

Python and SQL Proficiency

CI/CD with Jenkins

LLM-based AI Pipelines

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Master's degree in CS/Statistics/Math or related field

Tools

Git

GitHub

Jenkins

Hugging Face Transformers

TensorFlow

Databricks

AWS

GCP

MLflow

Docker

Job description

Jobtailor is seeking a data science professional to design, train, and deploy ML models for search and recommendations, and to build agentic AI pipelines that orchestrate LLMs, tools, and retrieval across enrichment, content generation, and internal workflows.

You will own the full model lifecycle, collaborate with engineering, product, and marketing, and evaluate performance with offline metrics and online tests, while staying current with AI advances.