Automation testing with C#

Job Details for BMS Commissioning Engineer

Job Title              : BMS Commissioning Engineer

Department      : BA (Building Automation)

Location              : Navi Mumbai-Vashi

Experience        : Minimum 5 years of experience in BMS Engineering, Testing & Commissioning

Desired Qualification: Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university

Skills Required : BMS, SCADA, DDC, PLC Engineering, Testing & Commissioning

Salary                   : As per Company Norms

Job Description

Ø Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university.

Ø Minimum 3 years of experience in BMS Engineering, Testing & Commissioning

Ø SCADA, PLC, BMS engineering/programming experience preferred.

Ø Strong understanding of OPC, BACnet, Modbus protocol to include IP, ETH and MS/TP

Ø Design, development, commissioning, and testing of Building automation systems

Ø BMS/SCADA/HMI graphic screen development

Ø IO Loop test and Functional test

Ø Basic knowledge on SQL database programming.

Ø Excellent problem-solving and troubleshooting skills

Ø Providing technical support to clients

Ø Experience with current trends in automation and instrumentation to be able to select and implement modern controls architectures

Ø Strong communication and organizational skills

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

Job Responsibilities:

The role is responsible for designing, coding, and modifying web apps, from layout to function and according to the specifications. Integrating data from various back-end services and databases.

Job Duties

• Candidate must have a strong understanding of UI, cross-browser compatibility, general web functions, and standards.

• The position requires constant communication with colleagues.
• Experience in working with distributed environments

• Deep expertise and hands-on experience with Web Applications and programming languages such as HTML, CSS, JavaScript, JQuery, and API.

Skills:

Proven working experience (2 years) in:

• Node.js

• Angular

• React