VP - AI LeadConfidential • Pune

VP - AI Lead

Confidential • Pune

12 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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