VP - AI Lead

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. 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 About Deutsche Bank Corporate Bank Division - Leading provider of cash management, trade finance, and securities finance - Completing green-field projects that deliver the best Corporate Bank - Securities Services products in the world - Diverse, international team driven by shared focus on clean code and valued delivery - Agile minds rewarded with competitive pay, support, and opportunities to excel Your Role - Work as part of a cross-functional agile delivery team - Bring an innovative approach to software development, using the latest technologies and practices - Relentless focus on business value - View engineering as a team activity, with a predisposition to open code and open discussion - Create a supportive, collaborative environment - Contribute to all stages of software delivery, from initial analysis 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 employees aged 35 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 - Experience 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); experience in Java, Scala, or Go is a plus - Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn - Experience with large-scale datasets and 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 experience 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 Skills: Machine Learning, Scala, Ai, Java, Python Experience: 15.00-20.00 Years