AI Lead, VP

Pune, Maharashtra
Permanent
Full-time

6 days ago

Job Description:Job Title: AI Lead, VPLocation: Pune & Bangalore, IndiaRole DescriptionEngineer 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 youAs 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 teamsPlease visit our company website for further information:We strive for a 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.

Deutsche Bank

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