AH Automation & Data Scientist

Job Purpose

• To support and provide input into the digital strategy roadmap with focus on identifying opportunities and the development of design automation solutions with the support of digital and automation head within the Maintenance and Operation Groups and imparting training.
• To assist in upgradation projects, analytics/,artificial intelligence with respect to software
  
  

including firewalls and servers as well as troubleshooting with respect to software usage for Hot Line, Cold Line, Finishing Line and provide support related to IBA Configuration and Kepware Connectivity with Individual Machine.

• To assist in implementation of IIOT for risk management, artificial intelligence and augmented reality projects and analytics through VEDA, Neptunus , MTEL as well as safety compliance and reporting with respect to PPE usage.
• Data Scientist responsibilities include:
• Undertaking data collection, pre-processing and analysis
• Building models to address business problems
• Presenting information using data visualization techniques.
  
  

Job Context & Major Challenges

Job Context: This position will be responsible :-

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
  
  

This role is required to assist in upgradation projects with respect to software aspects of network switches, firewalls, new servers, complete cabling of fiber optics. Criticality is assisting in Industry 4.0. project initiatives and its implementation across the plant with focus on cyber security project consisting threat detection software (Clarity), managed network switches, next generation firewalls, new servers.

A critical element of the role is to assist in implementing IIOT (Industrial Internet of Things) and monitoring analytics so that big data downtime prediction breakdown prediction and risk management shared by machine centers. It involves facilitating data exchange between machine and central network and leveraging artificial intelligence for augmented reality projects. Criticality is to assist in providing reliable process data automation (auto data log in) of production data across different machine centres.

This role is also required to assist in safety compliance and reporting with respect to PPE usage. Critical aspects are supporting operation and maintenance of VEDA (video analytics) and analytical prediction software (Neptunus System & Aspen MTEL System as well as installation and continuous monitoring of firewall/ anti virus software towards cyber security across the plant.

Other important aspects of the role are supporting Automation engineer to add data from Scada to SQL, data from IBA to Central IBA, providing and maintaining data for user in any form required by them for third party Integration, supporting individual automation engineer to maintain and troubleshoot database for Individual machine, assisting in maintaining Siemens, Rockwell and GE software Backup with help of Automation Engineer of respective area, working with vendor to maintain IIOT and Cybersecurity Software, assisting in Digital Project initiative, maintaining L2 Data from SQL to Ekaayan, maintaining Document related to Software and License of Central Server, giving support related to Thingworx IIOT Platform and helping User to troubleshoot data related issue, giving support in respect of creating interface between machine to machine to maintain seamless data flow, providing and maintaining data for user in any form required to them,

Job Challenges:o Not disturbing existing operation of plant during changeover of systems

• Retaining skilled manpower to maintain the sophisticated equipment and drive digitization
• Limited resources to manage the such huge and complicated OT network.
• Continuous Data Connectivity and accessibility across different machine centers for OT cyber security
• System for IIOT platform interim data backup plan to upkeep IIOT functionality and restoration through cloud platform.
• Centralized antivirus server for OT assets and its system control for patch update.
• Centralized health monitoring system for OT assets across the plant .
  
  

Key Result Areas

KRA (Accountabilities) (Max 1325 Characters)Supporting Actions (Max 1325 Characters)

KRA1 1) Business Excellence

• Assisting in continuous availability of network switches, firewalls, new servers across Hotline, Cold line and Finishing Line through preventive and breakdown maintenance as well as shutdown and overhauling
• Assisting in driving artificial intelligence and augmented reality project, and monitors analytics
• Implementing of Standard Maintenance Practices of OT Assest
• Assisting in availability of Central IBA system for process data Availability
• Assisting in maintaining Veda System to improve the safety standard of the plant
• Assisting in monitoring analytics in IIOT Platform to meet the business need and add values to plant
  
  

KRA2 2) Cost

• Giving inputs for planning and budgeting with respect to CAPEX related to software associated with digitization and automation
• Implementing cost saving initiatives by driving continuous process improvement without compromising quality
  
  

KRA3 3) Cash

• Monitoring spares and consumables inventory in area under jurisdiction so as to optimize working capital and improve profitability and cash flows
• Monitoring energy consumption within budget
  
  

KRA4 4) Customer

• Supervising data exchange between machine and central network and installing gadgets/ cards, machine centres connected with the network to support operations
• Minimising response time in providing information and solutions to all internal and external customers
  
  

KRA5 5) Sustainability & Compliance

• Implementing IIOT (Industrial Internet of Things) towards sharing big data by machine centres for downtime prediction breakdown prediction and risk management
• Ensuring compliance of all statutory and environmental norms to the satisfaction of all statutory bodies/ auditors
• Driving digitisation projects
• Driving WCM, Kaizen and improvement projects for continuous improvement and greater sustainability
  
  

KRA6 6) Safety

• Implementing cyber security involving installation of firewall/ anti virus software for cyber security
• Assisting in maintaining Veda System to improve the safety standard of the plant
• Safety compliance and reporting with respect to PPE usage