Systems Engineering Lead

Posted:
8/21/2024, 5:00:00 PM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Project Role : Systems Engineering Lead
Project Role Description : Lead teams that work on complex systems engineering solutions for customers. Design & develop engineering systems associated with physical products including feature functionality, engineering architecture, system integrations, simulations, and test methods. Oversee feature plan implementation and design failure mode effect analysis (DFMEA).
Must have skills : Enterprise Network Operations
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Systems Engineering Lead, you will lead teams that work on complex systems engineering solutions for customers. You will design and develop engineering systems associated with physical products, including feature functionality, engineering architecture, system integrations, simulations, and test methods. Your role will involve overseeing feature plan implementation and conducting design failure mode effect analysis (DFMEA). Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Lead teams working on complex systems engineering solutions. - Design and develop engineering systems associated with physical products. - Develop feature functionality, engineering architecture, system integrations, simulations, and test methods. - Oversee the implementation of feature plans. - Conduct design failure mode effect analysis (DFMEA). Professional & Technical Skills: - Must To Have Skills: Proficiency in Enterprise Network Operations. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Enterprise Network Operations. - This position is based at our Bengaluru office. - A 15 years full-time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing