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You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.- Advising and implementing AWS best practices
- Comprehensive solution design according to customer requirements and writing technical document proficiently
Key job responsibilitiesMajor responsibilities include:-Research and implement novel ML and DL approaches.About AWSDiverse 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
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
- 3+ years of experience building models for business applications
- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience
- 5+ years of IT implementation experience
- Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
- Practical experience in solving complex problems in an applied environment
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training
- Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX
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