AWS Sagemaker

What You Will Do • End to end machine learning lifecycle management on Sagemaker • Model training & tracking using MLFLow • Model Monitoring • Sagemaker Pipelines building • Experience in using Sagemaker ground truth for optimised collection of annotated data (Plus). • Cost and performance optimization What You Need to Be Successful • Experience working in cross-functional teams and collaborating effectively with different stakeholders. • Strong problem-solving and analytical skills. • Excellent communication skills to document and present technical concepts clearly. What Makes You Eligible • Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field. • 5-10 years relevant and Proven experience in developing and deploying generative AI models and agents in a professional setting. What We Offer • Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location • Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) • Extensive training opportunities through our own HARMAN University • Competitive wellness benefits • Tuition reimbursement • “Be Brilliant” employee recognition and rewards program • An inclusive and diverse work environment that fosters and encourages professional and personal development