Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Bengaluru
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum 5 year(s) of experience is required
- Education
- 15 years full time education
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Role Summary
The AI / ML Engineer develops production-ready applications and systems using AI tools, cloud AI services, and GenAI models. The role focuses on building and operating ML workflows and pipelines while collaborating with analysts, data engineers, data scientists, and visualization developers on end-to-end solution delivery.
What You'll Do
- Understand ML requirements and develop ML workflows.
- Automate ML pipelines for scheduling, monitoring, status notification, and resiliency.
- Collaborate with analysts, data engineers, data scientists, and visualization developers on ML pipeline development.
- Write robust, maintainable code and support reusable package and library development.
- Create and improve documentation for the development and operation of ML workflows.
- Investigate and resolve production issues, participate in code reviews, and support other engineers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Significant experience developing ML pipelines with Python and packages in the Python ML ecosystem, advanced Python programming with OOP concepts, cloud ML pipeline development, Agile software development, CI/CD tools such as GitHub Workflows, and orchestration frameworks such as Airflow. Strong verbal and written communication skills are required.
Required
- Machine Learning Operations
- Significant experience developing ML pipelines with Python and packages in the Python ML ecosystem (pandas, scikit-learn, etc.)
- Significant experience in Advanced Python programming like working with OOPs concepts and developing applications
- Significant experience developing ML pipelines in the cloud
- Strong verbal and written communication skills
- Agile software development experience such as Kanban and Scrum
- Strong understanding of CI/CD tools such as Github Workflows
- Strong understanding of orchestration frameworks such as Airflow
Preferred
- GCP experience
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 : Machine Learning Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities:
Understand and work with ML requirements and Develop ML workflows.
Automate ML pipelines, including for scheduling, monitoring, status notification and resiliency.
Collaborate with analysts, data engineers, data scientists and visualization developers to ensure ML pipeline development is consistent with end-to-end solution delivery.
Write robust, maintainable code.
Support reusable package/libraries development for streamlining ML workflows.
Create and improve documentation for development and operation of ML workflows.
Investigate and resolve production issues.
Participate in code review and provide support and guidance to other engineers on the team.
Participate in agile ceremonies and project management requirements.
Qualifications:
Mandatory to have significant experience developing ML pipelines with Python and packages in the Python ML ecosystem (pandas, scikit-learn, etc.).
Significant experience in Advanced Python programming like working with OOPs concepts and developing applications.
Mandatory to have significant experience developing ML pipelines in the cloud (GCP preferred, but other similar platforms would also provide relevant experience).
Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
Agile software development experience such as Kanban and Scrum.
Mandatory to have strong understanding of CI/CD tools such as Github Workflows.
Mandatory to have strong understanding of orchestration frameworks such as Airflow.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
Equal Employment Opportunity Statement
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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.