Amazon Senior Data Scientist - AWS Professional Services 

India, Karnataka, Bengaluru 

931480358

• Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .
• Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
• Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models.• Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models.
• Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
• Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built.
• Assist internal customers with identifying model drift and retraining models.
• Research and implement novel ML and DL approaches, including using FPGA.This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune.

- 7+ years of external or internal customer facing, complex and large scale project management experience
- Bachelor's degree, or 7+ years of professional or military experience
- Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
- Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models.
- Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models.

- 10+ years of IT platform implementation in a technical and analytical role experience
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience as technical specialist in design and architecture
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in external or internal customer facing, complex and large scale project management