Solutions Architect, Machine Learning Scaling

Basic Qualifications
- A degree in Computer Science / Engineering / Mathematics / Technology / Related science/technical field OR equivalent training, certifications, and/or experience.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.* Experienced in using multiple data science methodologies to solve complex business problems.
- 1+ years of experience of Data platform implementation, handling large data sets using SQL and databases in a business environment.
- Experience developing software code in one or more programming languages (Java, Python, etc.)
- Interest and aptitude to learn about and deliver cloud-based solutions to customers.
- Written and verbal communication skills and ability to effectively articulate technical challenges and solutions to both large and small audiences.
- Fluent proficiency in English.

Job summary
Are you passionate about collaborating with technology and business leaders to deliver cloud-based solutions?

Amazon Web Services (AWS) is seeking recent graduates, early career professionals, and advanced career professionals with limited technical experience interested in jump-starting a career as an Associate Solutions Architect to advance their technical and professional skills.

As an Associate Solutions Architect in Machine Learning (ML), you’ll be part of a team of domain specialist, learn from them and help your customers successfully implement ML cloud technologies. You’ll solve complex, technical challenges so your customers can focus on their business. This includes using your knowledge to craft scalable, flexible, and resilient cloud architectures. You’ll drive technical solutions discussions, diving deep into the details with customer teams.

Building relationships to understand our customers is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.

You’ll also act as an evangelist in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just want to be part of an industry movement; you’ll want to be leading it. As a Builder, you’ll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment AND WE encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded Solutions Architect and enable them to take on more complex tasks in the future.

**Note**:
Please submit your CV in English.

Preferred Qualifications
- Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 4+ years of working experience as a Data Scientist.
- Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
- Hands-on experience with technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.
- Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
- Experience defining system architectures and exploring technical feasibility trade-offs.
- 2+ years experiences developing cloud software services and an understanding of design for