ML Engineer

Overview

On Site
Hybrid
$100,000 - $140,000
Full Time

Skills

Machine Learning (ML)
Python
API
IT Consulting
Workflow

Job Details

At Improving, we re always exploring how to leverage cutting-edge technology to create real business value. We're looking for a Machine Learning Engineer to join our team and help build smart, scalable AI solutions using LLMs, Python, and emerging frameworks. If you re excited about building with real-world impact and experimenting along the way you ll fit right in.

What You ll Be Doing:

  • Designing and building APIs to serve ML models using FastAPI or similar frameworks

  • Developing and fine-tuning LLMs for use cases like chat, search, summarization, and content generation

  • Creating retrieval-augmented generation (RAG) workflows that combine LLMs with vector databases like FAISS or Pinecone

  • Exploring agentic frameworks like LangGraph, CrewAI, and similar tools to orchestrate more complex AI systems

  • Writing clean, scalable Python code and collaborating closely with teammates across engineering and product

What We re Looking For:

  • Strong experience with Python and API development

  • Hands-on experience working with large language models

  • Knowledge of vector databases and how they support RAG-style architectures

  • Interest or experience in agent-based tools (LangGraph, CrewAI, etc.)

  • A collaborative mindset, curiosity, and a bias for action

Why Improving:
Improving is a technology consulting and training firm committed to building trust through transparency and excellence. We re employee-owned, people-first, and focused on creating a culture where innovation thrives and people grow.

We are Only hiring local Houston based candidates who are interested in a full-time salaried role.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Improving Corporate Services