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 workplace




- 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

📌 VP - AI Lead (Pune)
🏢 Han Digital Solution Private
📍 Pune