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VP - AI Lead
VP - AI LeadConfidential • Pune
VP - AI Lead

VP - AI Lead

Confidential • Pune
15 days ago
Job description

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 Required

    Java, Machine Learning, Scala, Ai, Python

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