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 : Data Science
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Data Scientist with 5 to 7 years of experience, and at least 3+ years of genuine experience in building production-grade ML models (Regression, Forecasting, Classification etc.) and getting them deployed in production rather than just proof of concept or learning projects.

Roles & Responsibilities:
- At least 3+ years of relevant experience in data science, specifically in building and deploying production models (Regression, Forecasting, Classification etc.)) rather than just proof of concept or learning projects
- Experience in building or training machine learning models to a production environment that are actively used by end-users or systems
- Experience in maintaining or monitoring machine learning models in production for more than six months
- Experience in working on projects where they had to retrain or redeploy models based on new data in a production setting
- Experience in using version control systems (e.g., Git) for managing your data science projects in production
- Experience in collaborating with DevOps or MLOps teams to deploy and scale machine learning models in production
- Strong programming skills, particularly in Python
- Experience in written Python codes (Data Science) that is currently running in a production environment
- Experience in using Python for data manipulation, analysis and feature engineering in a production setting
- Experience in working on end-to-end Data Science pipelines
- Experience in creating environments for different libraries in production for different versions
- Experience in optimizing Python code for performance in a production system
- Ability to work in Agile environment and using tools like Git, Jira, Confluence etc
- Experience of working in Azure ML

Professional & Technical Skills:
- Must To Have Skills: Data Science, Azure ML, Python

Additional Information:
- 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 

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.