Machine Learning Engineer

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