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
• 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
💡 Quick Summary
Seeking a career-building opportunity? The VP - AI Lead position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.