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
Positive 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 current 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 workplace
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 creat

📌 Ai / Ml Engineer Bengaluru
🏢 Accenture
📍 Bengaluru