• ML Prototyping Architect

    Standort UK-London
    Datum 5 months ago(5.7.2018 12:57)
    Referenznummer
    687065
    Company
    AWS EMEA SARL (UK Branch)
    Company/Location (search) : Country (Full Name)
    United Kingdom
  • Job Description

    Amazon Web Services (AWS) EMEA is looking for an experienced Data Scientist/ Machine Learning specialist, who will take the role of a prototype developer, working with AWS customers to support designing machine learning and deep learning solutions that leverage AWS services. The Machine Learning Prototype Architect will be part of EMEA Prototyping Labs and will work in close partnership with the Sales and Business Development teams to enable large-scale customer use cases and drive the adoption AWS Advanced Analytics services. The ML Prototype Architect will engage directly with the customers’ development team, understand their specific business and technology challenges in the area of data and advance analytics, support hands-on to build a first machine learning/ deep learning prototypes and transfer knowledge on specific AWS services.
    Prototyping engagements will usually require to travel to Customers across EMEA and work 2-3 weeks on-site in a temporary Lab-like environment.

    The Machine Learning Prototype Developer will also provide field enablement support for the wider Prototyping Labs Competencies, e.g. IoT, Virtual Reality/ Augmented Reality, Voice and Image Recognition to integrate AWS Deep Learning and Machine Learning features into customer prototypes.

    Notwendige Qualifikationen

    • 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/ML and other AWS services into large-scale production applications.
    • Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.

    Wünschenswerte Qualifikationen

    • 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 statistical/mathematical software (e.g. R, Weka, SAS, Matlab)
    • Proficiency with programming languages such as Python, Scala and R
    • Experience with NoSQL is strong plus
    • Experience with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Machine Learning, AWS IoT & Greengrass, Amazon DynamoDB, Amazon S3
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