Democratizing Recruitment
Job Description

AWS machine learning engineer

Intelligence and Data
Department Mission
  • To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
  • Your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
  • Develop models and train them,
  • Research on new technologies,
  • Participate in recruitment process.
  • Work with existing and potential customers to deeply understand their business and technical needs,
  • Develop solutions that make the best use of the AWS Cloud platform and AI/ML Services,
  • Interact with customers to ensure design, integration, quality, and deployment expectations are met/exceeded,
  • Cooperate with AWS pre-sales technical teams closely to ensure solutions are delivered successfully,
  • Coordinate and lead internal solution design review processes,
  • Publish and present solutions in forums,
  • Act as a technical liaison with third-party vendors to understand integration requirements and implement custom solutions.
  • Technical knowledge and experience on M&E industry and applications of AI/ML platforms towards common industry workloads,
  • 5+ years of solid experience in ML primary frameworks including TensorFlow, PyTorch and MXNet,
  • Strong experience in designing architect, deploying and operating cloud-based solutions,
  • AWS Solution Architecture certification or relevant cloud expertise,
  • Deep knowledge of mathematics, probability, statistics and algorithms,
  • Experience with Hadoop/HBase/Pig or MapReduce/Spark.

It's always a good idea to include the benefits of the job the company will provide such as:

  • Flexible hours to give you freedom and increase productivity,
  • Life insurance for you and your family members,
  • Work remotely in the comfort of your home,
  • Free Gym membership so you can stay in shape,
  • Fun and energetic weekly team bonding events,
  • etc.

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