AI / ML Engineer

Posted:
9/24/2024, 6:47:02 AM

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

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Java Enterprise Edition
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

"Summary: The EDA Tech Lead is responsible for the technical oversight of the EDA implementation, working closely with the Onshore EDA Tech Lead to ensure that the technical solutions meet the business requirements. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Manage the development team working on the EDA. - Implement the architecture designed by the Onshore Tech Lead. - Ensure code quality and adherence to architectural guidelines. - Troubleshoot and resolve technical issues. - Report progress and any issues to the Onshore EDA Tech Lead. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Create a proper cloud or on-prem application pipeline with production-ready quality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Java Enterprise Edition. - Strong background in EDA and distributed systems. - Proficiency in event-driven frameworks and tools (Kafka, RabbitMQ, etc.). - Excellent problem-solving skills. - Strong leadership and communication abilities. - Experience in coordinating with onshore teams. - Experience with data visualization tools such as Tableau or Power BI. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.

15 years full time education

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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 750,000 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

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