Job Title: AI Lead, VP
Location: Bangalore, India
Role Description
Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments.
Synthix is a Financial technology company from Deutsche Bank specializing in SaaS based embedded finance solutions, integrating banking and non-banking services into unified platform experiences.
Work includes:
Planning and developing entire engineering solutions to accomplish business goals
Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle
Ensuring maintainability and reusability of engineering solutions
Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow
Reviewing engineering plans and quality to drive re-use and improve engineering capability
Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank.
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 software development, 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
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
Proven ability to design, build, and deploy end-to-end AI/ML systems in production.
Expertise in data science, including statistical analysis, experimentation, and data storytelling.
Experienced in working with large-scale, real-world datasets for model training and analysis.
Comfortable navigating urgency, ambiguity, and fast-changing priorities. Skilled at solving complex ML problems independently, from idea to implementation.
Strong leadership experience building and guiding high-performing AI teams. Hands-on with deep learning, NLP, LLMs, and classical ML techniques. Fluent in model experimentation, tuning, optimisation, and evaluation at scale.
Solid software engineering background and comfort working with data and full-stack teams.
Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines.
Bias for action — willing to jump into code, data, or ops to ship impactful AI products.
Your skills and experience
PhD in Computer Science, Data Science, Machine Learning, AI, or a related field.
Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus.
Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with large-scale datasets, distributed data processing (e.g. Spark, Beam, Airflow).
Solid foundation in data science: statistical modeling, A/B testing, time series, and experimentation.
Proficient in NLP, deep learning, and working with transformer-based LLMs.
Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management.
Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks.
Strong grasp of API design, system integration, and delivering AI features in full-stack products.
Comfortable working with SQL/NoSQL, and data warehouses like BigQuery or Snowflake.
Familiar with ethical AI, model explainability, and secure, privacy-aware AI development
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.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Skills Required
- PhD in Computer Science, Data Science, Machine Learning, AI, or related field
- Proven ability to design, build, and deploy end-to-end AI/ML systems in production
- Expertise in data science including statistical modeling, A/B testing, time series, experimentation
- Strong leadership experience building and guiding high-performing AI teams
- Strong programming skills in Python
- Experience in Java, Scala, or Go
- Deep expertise with ML frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience with large-scale datasets and distributed data processing (Spark, Beam, Airflow)
- Proficiency with cloud platforms and production ML tools (GCP, AWS, Azure, Vertex AI, SageMaker, Databricks)
- Hands-on MLOps practices: CI/CD, model serving, monitoring, lifecycle management
- Proficient in working with SQL/NoSQL and data warehouses like BigQuery or Snowflake
- Proficient in NLP, deep learning, and transformer-based LLMs
- Solid software engineering background and comfort working with data and full-stack teams
- Familiarity with ethical AI, model explainability, and secure, privacy-aware AI development
Deutsche Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deutsche Bank and has not been reviewed or approved by Deutsche Bank.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning multiple medical plan options along with dental, vision, prescription coverage, life insurance, and disability protection.
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Leave & Time Off Breadth — Time away is described as generous, including annual leave, sick leave, public holidays, wellbeing leave, volunteering leave in some regions, and expanded bereavement leave in certain locations.
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Retirement Support — Retirement support is presented as a matched savings plan (401(k)), reinforcing longer-term financial security as part of the rewards package.
Deutsche Bank Insights
What We Do
At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential. We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity. Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve. Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background. If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!
