Application Developer

Posted:
9/4/2024, 12:20:26 AM

Location(s):
Jaipur, Rajasthan, India ⋅ Rajasthan, India

Experience Level(s):
Expert or higher

Field(s):
AI & Machine Learning

Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Microsoft Azure Machine Learning
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 Years of fulltime education

Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Machine Learning. Your typical day will involve working with Azure Machine Learning, developing and deploying advanced machine learning models, and collaborating with cross-functional teams to deliver impactful data-driven solutions. Roles & Responsibilities: - Lead the development and deployment of advanced machine learning models using Microsoft Azure Machine Learning. - Design, build, and configure applications to meet business process and application requirements. - Collaborate with cross-functional teams to deliver impactful data-driven solutions. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning. - Good To Have Skills: Experience with other cloud platforms such as AWS or Google Cloud Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in 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 Microsoft Azure Machine Learning. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.

15 Years of fulltime 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.

Equal Employment Opportunity Statement


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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