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R&D Artificial Intelligence Engineer
Ref No.: 18-00304
Location: Irvine, California
Our client is looking for an AI Specialist Solutions Architect (AI SA) with a passion for architecting solutions that accelerate our customers' ability to innovate by leveraging AWS' AI stack. You will be a specialized member of a team of practitioners and researchers who are obsessed with understanding the needs of our customers and have the skills to partner with them to build next generation intelligent, scalable, secure, and cost-effective solutions. 

Roles & Responsibilities 
  • Work with customer's AI team to deeply understand their business and technical needs and design AI solutions that make the best use of the AWS Cloud platform and AI Services.
  • Understand and anticipate our customers business needs and accelerate their ability to innovate by building working prototypes or POCs.
  • Drive the collective mindshare of the developer, data scientist, and technologist communities through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
  • Act as a technical liaison between customers and the service engineering teams and lead in evolving the AWS platform.
  • Develop and support an AWS internal community of AI related subject matter experts.
  • Position requires travel -- generally, between 0 - 50% 
Basic Qualifications
  • Strong understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies.
  • Deep experience developing AI models in real-world environments and integrating AI/Client and other AWS services into large-scale production applications.
  • 2+ years design/implementation/consulting experience building cloud solutions using AWS.
  • 5+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service oriented architectures.

Preferred Qualifications
  • Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
  • Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
  • Experience with AWS services related to AI/Client highly desirable, particularly Amazon EMR, AWS Lambda, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.
  • A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
  • Presentation and communication skills with a high degree of comfort speaking with executives, IT management, and engineers.
  • Demonstrated ability to adapt to new technologies and learn quickly