AI / ML Engineer
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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI and Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires developing robust application pipelines that are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer integrates generative AI models into solutions and works on diverse AI technologies, including deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to ensure seamless implementation and continuous improvement of AI-driven systems is a key aspect of the daily workflow.
Roles & Responsibilities:
- Deep understanding of Medallion (Bronze/Silver/Gold) architecture.
- Solid understanding of Unity Catalog, RBAC, and permission management.
- Proficiency in Python (PySpark) and SQL for data processing and pipeline development.
- Strong knowledge of data ingestion techniques, file handling, and working with structured/unstructured data.
- Experience with performance tuning for both clusters and pipelines.
- Understanding of cloud platforms (Azure/AWS/GCP), Azure preferred.
- Excellent problem-solving abilities and the ability to work in complex business environments.
- Experience with CI/CD for Databricks (Repos, DevOps).
- Good to have knowledge of Delta Live Tables (DLT)
- Good to have familiarity with data governance frameworks.
- Good to have exposure to streaming pipelines and event-driven architectures.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Strong experience in building and managing scalable data pipelines and workflows within cloud or hybrid environments.
- In-depth understanding of AI model integration and deployment in production environments.
- Familiarity with generative AI models and their application in real-world solutions.
- Ability to work with deep learning frameworks and neural network architectures.
- Experience in developing AI applications involving chatbots and image processing techniques.
Additional Information:
- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI and Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires developing robust application pipelines that are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer integrates generative AI models into solutions and works on diverse AI technologies, including deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to ensure seamless implementation and continuous improvement of AI-driven systems is a key aspect of the daily workflow.
Roles & Responsibilities:
- Deep understanding of Medallion (Bronze/Silver/Gold) architecture.
- Solid understanding of Unity Catalog, RBAC, and permission management.
- Proficiency in Python (PySpark) and SQL for data processing and pipeline development.
- Strong knowledge of data ingestion techniques, file handling, and working with structured/unstructured data.
- Experience with performance tuning for both clusters and pipelines.
- Understanding of cloud platforms (Azure/AWS/GCP), Azure preferred.
- Excellent problem-solving abilities and the ability to work in complex business environments.
- Experience with CI/CD for Databricks (Repos, DevOps).
- Good to have knowledge of Delta Live Tables (DLT)
- Good to have familiarity with data governance frameworks.
- Good to have exposure to streaming pipelines and event-driven architectures.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Strong experience in building and managing scalable data pipelines and workflows within cloud or hybrid environments.
- In-depth understanding of AI model integration and deployment in production environments.
- Familiarity with generative AI models and their application in real-world solutions.
- Ability to work with deep learning frameworks and neural network architectures.
- Experience in developing AI applications involving chatbots and image processing techniques.
Additional Information:
- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.
- 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 approximately 791,000 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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.