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Senior Cloud Data & AI Engineer role at Deutsche Bank, Pune.
Build scalable AI and data pipelines on GCP, lead innovation in Securities Services.
Position Overview
Cloud Data and AI Engineer, AVP Job ID: Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2026-01-08 Location: Pune
Job Title:
Cloud Data and AI Engineer, AVP Location: Pune, India
Role Description
We are seeking an experienced Cloud (GCP) Data and AI engineer to play a key role in development and implementation of AI and Data engineering solutions. Candidate will work as an Engineering Team member in collaboration with business function and will be responsible for building and deploying robust and scalable AI and data engineering solutions, in-line with bank’s AI strategy, driven by business value to improve operational efficiency and enhance customer experience. Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank – Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to data engineering and data science, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support.
What we’ll offer you
- 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
- Build and implement data engineering and AI/ML solutions in Securities Services by preparing data, Feature engineering, running statistical tests, validating outputs, training and deploying ML models
- Engineer who can support business counterparts to study use cases, propose and deliver data engineering and AI/ML solutions for Securities Services domain
- Ensure seamless integration with existing systems and data platforms (Hybrid Cloud and Hadoop)
- Ensure data quality, security, and governance for AI model training, development and deployment
- CI/CD workflows for data pipelines, SQL scripts, ML models to implement in Production, with agile methodology
Research and Innovation
Stay up-to-date with the latest trends in cloud data, AI and machine learning (ML) tools and technologies (LLM, AutoML, Vertex AI). Collaborate with other teams and central AI team to identify emerging trends and technologies and to avoid duplication of efforts by building re-usable components. Develop proof-of-concept projects and pilots, with a scalable approach.
Regulatory Compliance and Risk Management
Ensure that AI solutions comply with regulatory requirements and industry standards. Conduct regular risk assessments to identify potential vulnerabilities and mitigate them.
Collaboration and Communication
Communicate technical results and recommendations to non-technical stakeholders through clear and concise language.
Education and Experience
Education and Experience Bachelor's / Master’s degree in Computer Science, Mathematics, Statistics or related field. 5+ years of hands‑on experience in GCP data engineering - data modelling, performance tuning for analytics platforms. Experience with different types of enterprise and real‑world data sets – structured, semi‑structured and unstructured data. Minimum 3 years of hands‑on experience in AI, ML, data science – Productionisation and post‑production maintenance of solutions. Experience with visualisation tools such as Tableau or Power BI.
Technical Skills
Proficiency in SQL, Python, R, or other programming languages. Knowledge of data management and processing platforms (e.g. Hadoop/Cloud Storage, Spark/DataProc, BQ, ADX, Dataflow, Airflow/Cloud Composer). AI Framework understanding – TensorFlow, PyTorch, LLMs, NLP with solution‑oriented mindset.
Team Player
High-performing team player to drive results-oriented projects.
Good to Have Certifications
Relevant certifications in Data Science, Analytics, etc. Work experience in financial services industry, preferably in a global bank setting.
How we’ll support you
Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.
About us and our teams
Please visit our company website for further information: https://www.db.com/company/company.html We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
Legal Disclaimer
We welcome applications from all people and promote a positive, fair and inclusive work environment.