À propos
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
Compétences linguistiques
- English
Avis aux utilisateurs
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