Engineer – Engineering Solutions 1876 views

Job Number: 7994
Location(s): Mumbai, Maharashtra Apply

As one of the world’s leading food companies, General Mills believes that food should make us better. Food brings us joy and nourishes our lives, connecting us to each other and the earth. General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Haagen-Dazs, Nature Valley, Betty Crocker, Pillsbury, Yoplait, Annie’s Homegrown, Old El Paso and more. Headquartered in Minneapolis, General Mills had global net sales of US$15.6 billion during fiscal 2017. We seek out the best talent, then give them development resources, support and the chance to lead something big. Choosing a career with General Mills means joining a company where you can make a difference in the lives of millions of people. There is tremendous opportunity here for individuals who want to advance food through innovation and serve the world.

EOE/Minorities/Females/Vets/Disabilities

Responsibilities require the incumbent to possess technical expertise skills to provide engineering analytics consulting to a centralized virtual team as an individual contributor by leveraging data from Manufacturing Execution System, CMM System and ERP systems which will help to improve plant productivity and optimize manufacturing costs by developing process improvement and reliability engineering solutions. This team caters to engineering requirements for all food manufacturing plants (50+) worldwide.

Business Results:

– Provide support to implement, and communicate productivity improvements initiatives corporate wide. .
– Brainstorm with stakeholders on defining the most appropriate technical solution and approach to deliver the solution optimally
– Provide analytical support for the evolution reliability centered maintenance, which will lead to productivity improvement and a reduced maintenance cost/case.
– Understand and leverage reliability metrics, system planning and cost tracking systems

Reliability Engineering and Analytics:

– Support in developing statistical models leveraging the data from Manufacturing Execution System, SAP, MAXIMO etc so as to identify insights, trends etc.
– Understand and leverage reliability metrics, system planning and cost tracking systems
– Collaborate with virtual plant and corporate engineering teams for diagnosis, solution design and creating recommendation report
– Participate in developing solutions in reliability modeling- failure analysis, reliability growth analysis, reliability prediction analysis etc- leveraging technical skills from statistical modeling
– Working on developing optimization models in the field of Demand Planning, Production Scheduling, Transportation, Inventory management etc. based on various statistical and mathematical models as cross-functional activities

Data Management:

– Support in data mining activities
– Data cleaning from different systems/ Data sources (SAP BW, Oracle or Access, Maximo etc )
– Data formatting and warehousing – Structuring/ Mapping different data sets
– Leveraging VBA/MS Access/SQL for Automation/Streamlining Reports/Dashboards.
– Learn data management technologies like – HADOOP, Spark etc.

Operations Management:

– Successful: Demonstrate success through margin savings or additional revenue generation as well as commitment to quality and timeliness
– Transparent: Provide ongoing visibility to all stakeholders leveraging process, technology and communication tools
– Document all the processes and solutions

Exposure in the following

  • Knowledge of FMEA, Statistical Analysis, Reliabiliy Engineering
  • Exposure to Machine Learning based algorithms
  • Expertise in optimization models, linear and multi linear programming models, advanced operations research, basic statistical tools like regression, Anova, logistic regression etc.
  • Hands on experience in R or Python Programming and visualization software like Spotfire/Tableau/PowerBI will be added advantage
  • Experience in Data mining, data warehousing, knowlege of SQL programming

Educational Qualification

  • B. Tech and M. Tech in Mechanical/ Electronics /Instrumentation/ Reliability Engineering/Computer Science/ Operation Research, preferably from reputed Institute/University
  • Any certification in Data Science/Analytics will be an added advantage

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