• Specialist Solutions Architect – Machine Learning

    Location US-VA-Herndon
    Posted Date 1 week ago(1/14/2019 8:05 AM)
    Job ID
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Are you excited to help the global public sector customers to leverage data in developing Machine Learning (ML) and Deep Learning (DL) models and adopting Artificial Intelligence (AI)? Eager to learn from many different enterprise use cases of AWS ML and DL? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come join us!

    At Amazon Web Services (AWS), we are helping the global public sector organizations build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems.

    ML and DL are rapidly growing in importance. We’re seeing more and more amazing work being done from smart city automation and mobile apps to financial trading and shipping logistics. Given the scale required for developing models, the cloud is an ideal place to deploy these models, and Customers across all industries are choosing Amazon Web Services (AWS) to deploy their models. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.

    As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team, you will work closely with the other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for ML/AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS ML solutions into customer architectures.

    You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is required, in addition to experience building complex classification models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.

    Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.

    If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.

    Basic Qualifications

    • 5+ years of experience in design/implementation/consulting experience of Machine Learning or Deep Learning solutions
    • 5+ years experience in performing data exploration and feature engineering
    • 5+ years working with business stakeholders and identifying which modeling technique should be used.
    • 3+ years of experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch and Theanu
    • 5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service oriented architectures.
    • 3+ years of experience of technical architecture, design, deployment and operational level knowledge of AI platforms, standards, protocols and devices
    • Advanced degree in computer science, engineering or mathematics

    Preferred Qualifications

    • 5+ years in consultative technical sales or professional services with a proven track record of success. Ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives.
    • 3+ years hands-on experience working with AWS or other cloud/virtualization platforms
    • 3+ years working with enterprise customers
    • Experience communicating effectively across internal and external organizations, for complex mission-critical solutions
    • Experience with predictive analytics, semi- and unstructured data
    • Experience deploying production-grade machine learning solutions on public cloud platforms
    • Hands-on experience with data manipulation, data analytics and data visualization tools (e.g. Hadoop, Spark, Presto, Hive, Kibana, R, RStudio)
    • PhD or Advanced Degree in data science or machine learning space
    • Continuous interest in the academic development around neural networks and machine learning general. A perfect candidate would be an active influencer and contributor in this space.
    • Experience with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Amazon Machine Learning, Amazon Athena, Amazon Redshift, AWS IoT, Amazon DynamoDB etc.
    • Experience working with supervised, unsupervised, and semi-supervised modeling techniques
    • Expert level understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments.
    • Strong understanding of machine learning algorithms such as clustering and classification algorithms and especially neural networks (CNN, RNN etc.). Having worked with both structured and unstructured data in the past to gain effective insights.
    • Significant experience creating, testing and deploying ML models. Significant experience developing AI solutions and passion for getting hands dirty with code e.g. familiar using DL Platforms/Tools like MXNet, Caffe, Caffe2, Theano, TensorFlow
    • Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
    • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
    • Ability to influence and build mindshare convincingly with any audience, including the ability to create compelling demonstration of AI solutions. Confident and experienced in public speaking to large audiences.
    • AWS Certifications - AWS Solutions Architect Professional desired

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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