Machine Learning Engineer

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

Job summary

Compunnel, Inc. is looking for a hands-on Machine Learning Engineer in Philadelphia. The role emphasizes expertise in Python and PySpark to build, deploy, and support machine learning solutions. Candidates should have strong experience in deploying ML models into production and working with AWS cloud services.

The ideal candidate enjoys solving technical problems and coding. Responsibilities include designing and optimizing ML models, developing scalable ML pipelines, and collaborating with engineering teams. This role does not involve management.

Qualifications

• 5+ years of Machine Learning Engineering experience.
• Extensive hands-on Python programming experience.
• Recent hands-on PySpark experience is a must.
• Strong experience with AWS cloud services.

Responsibilities

• Design and develop production-ready Machine Learning models.
• Deploy Machine Learning models into production environments.
• Collaborate with software engineering teams.

Skills

Python programming

PySpark

AWS cloud services

Machine Learning deployment

ETL workflows

Debugging skills

Job description

Job Summary

Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning solutions. The ideal candidate should have experience deploying ML models into production, working with AWS cloud services, and setting up local LLM environments. This is an engineering role, not a management role. The hiring manager is specifically looking for someone who enjoys coding and solving technical problems.

Key Responsibilities

• Design, develop, and deploy production-ready Machine Learning models
• Develop scalable ML pipelines using Python and PySpark
• Build and optimize ETL and data processing workflows
• Work with AWS cloud services to support ML applications
• Configure and work with Local LLM environments
• Deploy Machine Learning models into production environments
• Collaborate with software engineering teams to build scalable ML solutions
• Troubleshoot, optimize, and maintain production ML pipelines

Required Qualifications

• 5+ years of Machine Learning Engineering experience
• Extensive hands‑on Python programming experience
• Recent hands‑on PySpark experience (Must Have)
• Strong AWS cloud experience
• Experience deploying Machine Learning models into Production (Must Have)
• Strong coding and software engineering skills
• Experience building scalable ML pipelines
• Strong debugging and problem‑solving skills

Preferred Qualifications

• Experience setting up Local LLMs
• MLOps experience
• Distributed data processing experience
• Model optimization and performance tuning
• Experience with production AI/ML systems