Deutsche Bank Group
banking
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Deutsche Bank Group. Skills: AI engineering, data analytics, automation solutions, Natural Language Processing, GenerativeAI, Python, SQL, MLOps, Google Cloud Platform. Design and Development of AI models in particular within area of Natural Language Processing and GenerativeAI. explore, implement, train and evaluate identified AI models and their respective MLOps activities with Python and Project Jupyter toolset”
What You'll Achieve.
create sustainable business value; establish robust engineering standards; help shape scalable, effective processes that will be instrumental to the long‑term success of the function; deliver high-quality solutions
Industry & Context.
What They're Looking For.
Must Have
Master's degree (or equivalent) from an accredited college or university (or equivalent) in a quantitative field (Mathematics, Statistics, Physics, Engineering, Computer Science etc. ) or equivalent work experience, Multiple years’ experience as data scientist or AI engineer, Python, SQL, Docker Micro Services
Nice to Have
ideally in the banking industry, experience in finance industry, internal audit functions or high regulated environments is considered a plus
What You'll Do.
Design and Development of AI models in particular within area of Natural Language Processing and GenerativeAI
train and evaluate identified AI models and their respective MLOps activities with Python and Project Jupyter toolset
developing self-service analytics solutions using Python and SQL
Adopt to hybrid and native cloud technologies with OpenShift and Google Cloud Platform
Driving software engineering principles within the team adopting market’s best practices alongside with DB’s principles and procedures to deliver high-quality solutions through coding
system testing and documentation
Enhance existing data-driven solutions regarding data ingest
reporting and machine learning capabilities
Identify automation opportunities and develop solutions that simplify data delivery processes and make them more efficient with AI workflows
How You'll Work.
Team & Collaboration
working collaboratively
Full Job Description
## _**Job Description:**_ **Job Title: AI Engineer** **Location: Pune, India** **Corporate Title: Associate** **Role Description** * The AI Engineer designs, builds, and operates high‑quality, scalable AI solutions to meet current and future business needs of internal stakeholders in a timely manner. They leverage modern AI engineering, data, and cloud toolkits to develop production‑ready models, agents, and automation solutions that create sustainable business value. Reporting to the Team Leader of the Data and AI team in Berlin, the AI Engineer will be a member of the newly established CEO–Chairman Technology Team for Data Analytics and AI. * This Center of Excellence enables all CEO Chairman functions through AI engineering, advanced analytics, and automation solutions. As part of a newly founded team, the AI Engineer will pioneer the development of innovative AI‑driven applications, establish robust engineering standards, and help shape scalable, effective processes that will be instrumental to the long‑term success of the function. **What we’ll offer you** As part of our flexible scheme, here are just some of the benefits that you’ll enjoy * Best in class leave policy * Gender neutral parental leaves * 100% reimbursement under childcare assistance benefit (gender neutral) * Sponsorship for Industry relevant certifications and education * Employee Assistance Program for you and your family members * Comprehensive Hospitalization Insurance for you and your dependents * Accident and Term life Insurance * Complementary Health screening for 35 yrs. and above **Your key responsibilities** * Design and Development of AI models in particular within area of Natural Language Processing and GenerativeAI * Broad knowledge to explore, implement, train and evaluate identified AI models and their respective MLOps activities with Python and Project Jupyter toolset. * Deep experience in developing self-service analytics solutions using Python and SQL. * Adopt to hybrid and nati
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