Job Location: Austin, TX
- 3+ years of design, implementation, or consulting experience in applications or infrastructures
- 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
- MS in Engineering, Computer Science, Applied Mathematics (or related STEM fields)
- 5+ years experience working with a few of these frameworks and technologies: PyTorch, TensorFlow, MxNet, probabilistic modeling, optimization, and scalable computing systems.
- Demonstrated ability to work in a fast-paced matrix environment.
- Strong track record of publications in peer-reviewed journals, conferences and/or curated blogs.
- Deep knowledge and extensive experience building and deploying one or more of these technologies in production: Deep learning (e.g. CNN, RNN, LSTM, GAN, etc.), Reinforcement Learning, Accelerated compute (e.g. GPU, FPGA, ASICs, etc.), ML Frameworks (e.g. TensorFlow, PyTorch, etc.), ML engineering (e.g. Containers, Kubernetes, Kubeflow, etc.), Probabilistic Modeling (e.g. Bayesian modeling, Probabilistic Deep Neural Networks, Probabilistic Graphical Models, etc.), Global non-convex optimization (e.g. Genetic Algorithms, Particle Swarm, etc.) and non-linear estimation techniques (e.g. Unscented Kalman Filters, Particle filters, etc.) and time series forecasting.
- Experience working with HPC systems, computational applications stacks (MPI, NCCL, MPI-IO, Lustre, high-speed interconnect) and performance profiling tools (Nvidia Nsight, CrayPat, Allinea MAP, Tau, eBPF).
- Experience with one or more general purpose programming languages, including but not limited to: Python, Go, C/C++, JavaScript, Java.
- Solid enterprise communication skills, and business and financial acumen.
- Strong analytical skills, and demonstrated ability to turn detailed data analysis into useful strategic insight in order to drive customer adoption and make appropriate recommendations to the business.
- Strong verbal and written communications skills are a must, as well as leadership skills.
- Demonstrated ability to work effectively across internal and external organizations.
Job summary
AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.
Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
Frameworks ML Specialist Solutions Architects combine technical skills in Deep Learning and High-Performance Computing (HPC), business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.
SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
About the team
The Frameworks ML team works at the intersection of AI and HPC. We position AWS as the best place to run the most complex AI workloads at scale and cost effectively. As a team of builders, we thrive for technical depth and technical excellence.
Our team works across the ML and AWS architecture stacks. We build, optimize and deliver best practices to run self-managed ML workloads on AWS. The technologies we work with ranges from Deep Learning Frameworks (PyTorch, TensorFlow), communication libraries (MPI, NCCL), containers and orchestration (Docker, Amazon EKS, AWS Batch, AWS ParallelCluster), storage (Amazon FSx for Lustre, Amazon S3), network (Amazon EFA) and, programming languages (Python, Golang, Javascript, Typescript, C/C++) in addition to IaC tools (AWS CloudFormation, Terraform, Packer).
As a Specialist Solutions Architect on the Frameworks ML team, you will own technical engagements, define implementations architectures and be subject-matter-expert for customer solutions and technical architectures.
- Ph.D. in Engineering (or related STEM fields)
- Experience developing, deploying and managing AI products at scale.
- 7+ years of engineering, development, data science and modeling experience.
- Demonstrated experience solving end-to-end large-scale problems in aerospace, transportation, energy, manufacturing, telecommunications, genomics, healthcare and/or robotics with proven AI technologies deployed at scale.
- Experience with cloud computing and distributed computing.
- Experience in developing and optimizing tightly and loosely coupled computational applications at scale.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Submit CV To All Data Science Job Consultants Across United States For Free