Machine Learning Engineer

Compunnel

$100K — $140K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Machine Learning Engineering experience
  • Extensive hands-on Python programming expertise
  • Recent, hands-on PySpark experience is mandatory
  • Strong experience with AWS cloud services
  • Proven experience deploying ML models into production environments
  • Strong software engineering and coding capabilities
  • Experience in building scalable ML pipelines

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
  • Utilize AWS cloud services for supporting ML applications
  • Configure and manage Local LLM environments
  • Deploy Machine Learning models in production settings
  • Collaborate with software engineering teams to create scalable ML solutions
  • Troubleshoot, optimize, and maintain ongoing ML pipelines

Benefits

  • Flexible work environment
  • Opportunities for professional development
  • Access to cutting-edge technology
  • Supportive team culture that values problem-solving
  • Potential for remote work
Full 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

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