Junior ML Engineer – Flexible Hours, Growth Path

Production Solutions; Laredo (TX); On-site; USD 49,000 - 77,000; Full time

Benefits offered by this job

Growth track

Mentorship

Full benefits

Flexible hours

Job summary

Production Solutions in Laredo, TX is seeking a junior Machine Learning Engineer to accelerate our product roadmap. The role offers a salary range of $49,000–$77,000 per year and a path to growth, mentorship, and full benefits.

You will decide when to buy RAG versus build it for our stack, ship Vector Databases experiments, and evaluate new tools and libraries. A TX market sensibility and clear communication are key as you collaborate with product and engineering in a fast-paced, scrappy

Qualifications

• 1+ years of related experience in ML or data engineering.
• Strong communication skills and ability to translate jargon for non-technical stakeholders.
• Familiarity with vector databases and RAG workflows is a plus.

Responsibilities

• Decide when to buy RAG versus build for the Laredo, TX stack.
• Ship Vector Databases experiments quickly; drop underperformers; scale successful ones.
• Evaluate and recommend new ML tools, frameworks, and Vector Databases libraries.
• Negotiate tradeoffs with product when timelines and realities collide.
• Profile and refactor legacy code to reduce technical debt over time.

Skills

Communication

TX market awareness

Team mindset

Curiosity

Problem solving

Tools

Vector Databases

RAG

Job description

Production Solutions in Laredo, TX is seeking a junior Machine Learning Engineer to accelerate our product roadmap. The role offers a salary range of $49,000–$77,000 per year and a path to growth, mentorship, and full benefits.

You will decide when to buy RAG versus build it for our stack, ship Vector Databases experiments, and evaluate new tools and libraries. A TX market sensibility and clear communication are key as you collaborate with product and engineering in a fast-paced, scrappy