Machine Learning

Compunnel, Inc.; Philadelphia (Philadelphia County); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking an experienced Machine Learning Engineer in Philadelphia to design, develop, and deploy AI and LLM-based systems to enhance customer support. The ideal candidate should have over 5 years of experience in machine learning, proficiency in Python, and a strong understanding of API integration. This role offers competitive compensation and the opportunity to work in a dynamic environment.

Qualifications

• 5+ years of experience in machine learning or data science.
• Hands-on experience with Large Language Models (LLMs).
• Strong programming skills in Python.

Responsibilities

• Design and deploy AI and LLM-based systems.
• Build and maintain scalable machine learning pipelines.
• Collaborate on integrating ML models into production.

Skills

Machine Learning

Python

API integration

Problem-solving

Data processing

Tools

PyTorch

TensorFlow

Job description

We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy AI and LLM-based systems that enhance and automate customer support experiences.

The ideal candidate will have a strong background in machine learning, hands‑on experience with Large Language Models (LLMs), and proficiency in Python and API integration.

Key Responsibilities

• Design, develop, and deploy AI and LLM‑based systems to optimize and troubleshoot customer experiences.
• Build and maintain scalable machine learning pipelines for data processing, model training, and deployment.
• Collaborate with cross‑functional teams to integrate ML models into production systems via APIs.
• Continuously experiment with model architectures and fine‑tuning techniques to enhance performance.
• Monitor, debug, and optimize live AI systems to ensure accuracy, reliability, and scalability.

Required Qualifications

• 5+ years of professional experience as a Machine Learning Engineer, Data Scientist, or in a similar role.
• Proven hands‑on experience with Large Language Models (LLMs) (e.g., OpenAI, Anthropic, Hugging Face, or similar platforms).
• Strong programming skills in Python, with experience using ML frameworks such as PyTorch or TensorFlow.
• Solid understanding of API development and integration for AI/ML applications.
• Strong analytical and problem‑solving skills; ability to thrive in dynamic, fast‑paced environments.

Preferred Qualifications

• Experience in building AI solutions for customer support or troubleshooting systems.
• Familiarity with cloud‑based ML deployment and MLOps practices.