• Full Time
  • India

Website Jendamark

Basic Requirements:

  • Minimum Bachelor’s Degree in Mathematics, Statistics, Data Science, Analytics, Software Engineering, Operations Research, or related analytic field is required
  • Bachelor’s Degree in Mechatronics or similar engineering discipline (advantageous)


Languages:

  • English – Read, write and speak (required)


Minimum of 5 years’ relevant experience in:

  • ETL, data processing and data mining, with a focus on large database transactions, with 2+ years in a data analyst role in manufacturing/engineering domain
  • Data modelling and database management
  • Developing analytic pipelines with programming languages such as Embedded C/C++/Python
  • Knowledge of manufacturing industry and engineering analytics (such as Fourier analysis, vibration analysis, and signal processing)
  • Training and Deployment of Machine Learning models using AWS Sagemaker, on both edge devices and cloud computing environments
  • Microservice-based IoT architecture components, including ReSTful APIs, gateways, messaging protocols (MQTT), and containerisation technologies such as Docker (advantageous)
  • Architectures for distributed computing in support of parallel analysis algorithms on-premise and AWS cloud
  • Analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Professional software engineering & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
  • Communicating with users, software development engineering teams, and management to collect requirements, describe software product features and technical designs


Core Responsibilities:

  • Analyse machines and equipment to establish operating data, conduct experimental tests, and evaluate results
  • Setting up and managing new data pipelines on-premise and AWS cloud
  • Data analysis of historical manufacturing operations and build statistical performance profiles of machine and manufacturing assembly activities
  • Develop simulation and artificial intelligence algorithms in support of operations optimisation of Industrial
    Engineering use cases
  • Deployment of models into production environments (on-premise and cloud)


Communication & Reporting:

  • Provide information on feasibility of prospective analytical applications and participate in analytic project decision making
  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
  • Work closely with customers, managers, and technical teams to define scope, goals, and deliverables
  • Work independently and with technical team to develop analytic products and Machine Learning based
    applications
  • Develop plans, designs experiments, outlines research procedures to be followed
  • Plan schedule of activities according to organisation’s timetable, and establish daily or weekly routines necessary to meet project timelines
  • Perform and report interim analysis of accumulated data to provide status of project or research
  • Author technical reports, prepare and present project communication for customers, key stakeholders

Please consider your application unsuccessful if not contacted two weeks after the closing date.

Closing Date: 08 October 2021

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