About the Role

Senior Data Scientist role at AWS Professional Services helping large enterprises build ML/DL models on AWS Cloud. Responsibilities include guiding customers on AWS AI solutions, delivering end-to-end ML projects, and implementing novel ML approaches. Requires 10+ years experience with deep learning frameworks and ML tools.

Key Responsibilities

• Understand customer business needs and guide them to solutions using AWS AI services and platforms
• Deliver end-to-end ML/DL projects from business need analysis to model deployment
• Use deep learning frameworks (MXNet, TensorFlow, Keras, etc.) to build models for customers
• Work with Big Data consultants to analyze, extract, normalize, and label relevant data
• Research and implement novel ML and DL approaches including using FPGA

Required Skills & Qualifications

Must Have:

• 10+ 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 to deployment
• Skilled in using Deep Learning frameworks (MXNet, TensorFlow, etc.) and ML tools (SparkML, Amazon ML)

Nice to Have:

• 10+ 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

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth opportunities
• Work-life balance with flexible working culture