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 setting

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.

📌 AI / ML Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru