# Senior Engineer, AVP

**Company**: Deutsche Bank
**Location**: Pune
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Pune---Margarpatta/Technical-Specialist--Data-Engineer--L3---AVP_R0410988?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_435f88aa-83e

## Description

We are seeking a Senior Engineer, AVP to join our team in Pune, India.

As a Senior Engineer, you will be responsible for designing, developing, and delivering robust high-performance data pipelines, intelligent agentic workflows, Machine Learning Models, and cognitive solutions to solve complex business problems and accomplish organisational goals.

**Key Responsibilities:**

- Develop and deploy source code, including infrastructure and application-related configurations for AI/ML, Agentic AI, and large-scale data processing components.

- Provide development activities for projects, ETL pipelines, and AI infrastructure components.

- Design and build intelligent AI agents capable of planning, tool-use, multi-agent collaboration, and executing complex reasoning tasks.

- Design, develop, and maintain scalable batch and real-time ETL/ELT pipelines.

- Debug, fix, and provide support to the L3 support team for deployed AI/ML models, data pipelines, and applications.

- Verify developed source code, data transformation logic, and prompt configurations by peer reviews.

- Contribute to quality assurance by writing and conducting unit, integration, and evaluation testing.

- Ensure architectural changes are implemented.

- Contribute to problem and root cause analysis for cognitive pipelines, data pipeline bottlenecks, and ML model drift or performance degradation.

- Integrate software components following the integration strategy, MLOps, and DataOps guidelines.

- Work on technical continuous improvements across AI/ML and data modules regularly.

- Develop CI/CD routines to deploy AI models, data pipelines, and agentic workflows to target environments.

- Provide release deployments on non-production management-controlled environments.

- Support the creation of software product training materials, user guides, and deployment instructions.

**What We Offer:**

- Best-in-class leave policy

- Gender-neutral parental leaves

- 100% reimbursement under childcare assistance benefit

- 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

- Complimentary health screening for 35-year-olds and above

**Requirements:**

- Bachelor of Science degree in Computer Science, Data Science, AI, or Software Engineering.

- Strong analytical and problem-solving skills.

- Proficient communication skills.

- Fluent in English.

- Ability to work in virtual teams and matrixed organisations.

- Excellent team player and open-minded.

- Keeps pace with rapid technical innovation in Generative AI, Large Language Models, Agentic architectures, and Big Data technologies.

- Understands relevant business areas and Financial Services compliance/risk guidelines.

- Ability to share information, transfer knowledge, and expertise to team members.

- Ability to work in a fast-paced environment with competing priorities.

**Domain-Specific Skills:**

- Programming: Strong Python and PySpark development skills.

- Big Data & ETL: Hands-on experience with Apache Spark, Hadoop, and designing robust ETL/ELT pipelines.

- Cloud Platform: GCP AI/ML and Data services.

- Agentic AI & GenAI Frameworks: Gemini, Github Copilot, LangChain, LlamaIndex.

- Machine Learning: Core ML/DL concepts, supervised/unsupervised learning, model fine-tuning, and evaluation metrics.

- Automation & Orchestration: Infrastructure as Code and workflow orchestrators.

## Skills

### Required
- Python
- PySpark
- Apache Spark
- Hadoop
- GCP
- Vertex AI
- BigQuery
- Dataproc
- Dataflow
- Gemini
- Github Copilot
- LangChain
- LlamaIndex
- Machine Learning
- Deep Learning
- Infrastructure as Code
- Terraform
- Apache Airflow
- Vertex AI Pipelines

### Nice to have
- MLOps
- DataOps
- Vector Databases
- HP ALM
- Jira
- ServiceNow
- SDLC
- Agile processes

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Source: [Apply at db.wd3.myworkdayjobs.com](https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Pune---Margarpatta/Technical-Specialist--Data-Engineer--L3---AVP_R0410988?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)