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 : 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 Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.