Data Scientist
Amazon.com
Bengaluru, KA, IN
1d ago

Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-

of-the-art AI / ML / DL tools on Amazon Web Service (AWS) cloud? Come join us at Amazon Internet Services Private Limited ( AISPL ).

At AISPL, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning.

  • Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning;
  • as is our drone initiative, Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at AISPL committed to machine learning and deep learning, and it’s a big part of our heritage.

    At AISPL, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack : Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow, API-

    driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications, and Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark ML on EMR for data scientists.

    AISPL is looking for a Senior Data Scientist in India who will be the Lead Subject Matter Expert (SME) for helping customers design machine learning solutions that leverage the AI stack on AWS cloud.

    You will partner with Solution Architects, Marketing, Business Development and the AI Service teams at AISPL to enable customer adoption and revenue attainment.

    You will develop white papers, blogs, reference implementations, labs, and presentations to evangelize AWS AI design patterns and best practices.

    You will also mentor and train the broader technical population of AISPL in India, to help them understand how to integrate the AI stack into customer architectures.

    Responsibilities :

  • Work with AI / Data / Data Science team at AISPL 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.
  • Help scope and formulate AI projects and POCs in India.
  • Deliver deep-dive workshops and AI POCs for customers in India.
  • Thought Leadership Evangelize AWS cloud services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-
  • speaking events such as AWS Summit, AWS re : Invent, etc.

  • Partner with Solutions Architects, Marketing Business Development and the AI Service teams to accelerate customer adoption and revenue attainment.
  • Develop and support the internal community of AI related subject matter experts at AISPL.
  • Deep 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.

  • Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline.
  • Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.

  • 3+ years design / implementation / consulting experience training Machine Learning models and deploying scoring pipelines at scale.
  • 3+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service oriented architectures.
  • A talent for being able to influence and build mindshare convincingly with any audience.
  • Confident and experienced in public speaking to large audiences
  • PhD., Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline.
  • Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.

  • Data science background and experience manipulating / transforming data, model selection, model training, cross-validation and deployment at scale.
  • 5+ years design / implementation / consulting experience building cloud solutions.
  • 5+ years design / implementation / consulting experience training Machine Learning models and deploying scoring pipelines at scale.
  • Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
  • Experience with Big Data platforms like Apache Spark and Hadoop.
  • Experienced in data processing with Python, R & SQL.
  • Experience with AWS services related to AI / ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.
  • Apply
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