About the Role

This Data Scientist role at AWS Professional Services involves building ML/DL models on AWS Cloud for enterprise customers. The position requires guiding customers through AI solutions, delivering end-to-end ML projects, and implementing predictive technology for business impact.

Key Responsibilities

• Understand customer business needs and guide them to solutions using AWS AI services and platforms
• Deliver end-to-end ML/DL projects including data aggregation, exploration, model building, validation, and deployment
• Use Deep Learning frameworks (MXNet, TensorFlow, Keras, etc.) and ML tools (SparkML, Amazon ML) to build models
• Work with Big Data consultants to analyze, extract, normalize, and label relevant data
• Assist customers with identifying model drift and retraining models, and research novel ML/DL approaches

Required Skills & Qualifications

Must Have:

• 7+ years of professional or military experience including a Bachelor's degree
• 7+ years managing complex, large-scale projects with internal or external customers
• Experience delivering end-to-end ML/DL projects from business need understanding to model deployment
• Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning)

Nice to Have:

• 7+ years of IT platform implementation in a technical and analytical role
• Experience in consulting, design and implementation of serverless distributed solutions
• Experience with databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex customer-facing projects
• Experience as a technical specialist in design and architecture with cloud-based solutions expertise

Benefits & Perks

• Inclusive team culture with employee-led affinity groups and inclusion events
• Mentorship and career growth opportunities with knowledge-sharing resources
• Work-life balance with flexible working culture and support for workplace accommodations