Amazon Data Scientist - AWS Professional Services 

India, Karnataka, Bengaluru 

531448813

Key job responsibilities
• 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.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of professional or military experience, including a Bachelor's degree.
- 7+ years managing complex, large-scale projects with internal or external customers.
- 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.
- Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers.

- 7+ years of IT platform implementation in a technical and analytical role experience.
- Experience in consulting, design and implementation of serverless distributed solutions.
- Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects.
- Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems.