AI / ML Engineer Full-time

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 : Google Cloud Machine Learning Services
Good to have skills : GCP Dataflow, Google Pub/Sub, Google Dataproc
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are seeking a skilled GCP Data Engineer to join our dynamic team. The ideal candidate will design, build, and maintain scalable data pipelines and solutions on Google Cloud Platform (GCP). This role requires expertise in cloud-based data engineering and hands-on experience with GCP tools and services, ensuring efficient data integration, transformation, and storage for various business use cases.

Roles & Responsibilities:
• Design, develop, and deploy data pipelines using GCP services such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
• Optimize and monitor data workflows for performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and implement solutions.
• Implement data security and governance measures, ensuring compliance with industry standards.
• Automate data workflows and processes for operational efficiency.
• Troubleshoot and resolve technical issues related to data pipelines and platforms.
• Document technical designs, processes, and best practices to ensure maintainability and knowledge sharing.

Professional & Technical Skills:
a) Must Have:
• Proficiency in GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.
• Expertise in SQL and experience with data modeling and query optimization.
• Solid programming skills in Python ofor data processing and ETL development.
• Experience with CI/CD pipelines and version control systems (e.g., Git).
• Knowledge of data warehousing concepts, ELT/ETL processes, and real-time streaming.
• Strong understanding of data security, encryption, and IAM policies on GCP.
b) Good to Have:
• Experience with Dialogflow or CCAI tools
• Knowledge of machine learning pipelines and integration with AI/ML services on GCP.
• Certifications such as Google Professional Data Engineer or Google Cloud Architect.

Additional Information:
• – The candidate should have a minimum of 3 years of experience in Google Cloud Machine Learning Services
• and overall Experience is 3- 5 years
• – The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.

15 years full time education

About Accenture
Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, 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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