Yeshwanthpur Bengaluru Karnataka S&c global network ai resources consultant Jobs – 15 Open Jobs Today

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com

What you would do in this role

The ideal candidate shall be,

Help the team in architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.
Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
Ability to consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights.
Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders.

Who we are looking for?

Qualifications and Experience:

Bachelor's/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
5+ year(s) experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems.
Proficiency in programming languages such as Python, PySpark, SQL, or Scala.

Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
Excellent data visualization skills in PowerBI/Tableau to be able to present insights that drive business impact.
Experience in Utilities, Energy, Chemical, Metals and Mining experience is preferred.
In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.
Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
Experience of working with database/data warehouse/data modeling/ETL pipeline.
Candidates should have a strong understanding of Gen AI, LLMs, Vector database and Lang chain frameworks.

Apply Now

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