Data Scientist - Platforms

Required Skills
Technology | Data Analytics Activities | Data Visualization
Technology | Artificial Intelligence Related Knowledge Areas | Deep Learning
Behavioral | Aptitude | Business Skills
Technology | AI, ML Roles | Artificial Intelligence (AI) Consultant
Technology | Artificial Intelligence / Machine Learning Related Activities | Develop Predictive Models
Technology | Artificial Intelligence Related Knowledge Areas | Natural Language Processing (NLP)

Education Qualification :
Engineer - B.E / B.Tech / MCA

Job description:
1) This position requires an understanding and desire to advance the programming, configuration, and lifecycle management of manufacturing process controls, automation and field instrumentation technologies.
2)Develop and deploy process control applications utilizing Programmable Logic Controllers (PLC), Distributed Control Systems (DCS), Human Machine Interfaces (HMI) and Supervisory Control and Data Acquisition systems (SCADA).
3)Support of capital projects. Responsible for the application of automation engineering principles in the design, specification, construction, startup, and validation of process equipment and systems for capital projects of varying scope and complexity.
4)Familiarity with industry standards for batch control systems, software development life cycle methodologies, 21 CFR Part 11, and GAMP.
5)Development of requirements, specifications, engineering documents, SOP and operating standards.
6)Ownership and administration of process control automation in a regulated manufacturing setting. Engage in, and execute managed process change requests per established SOP and processes.
7)Gather data and participate in technical root cause analysis, incident investigations, and troubleshooting on process control issues related to electrical, instrumentation and control systems.
8)Design and testing of newly installed and currently installed automation based process equipment. Support new product introductions or new technology introductions by performing engineering assessments, implementing automation system configuration changes and supporting engineering runs.
9)Apply standard process control methods and approaches to problem solving.