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Data Science Engineer, AVP Job Opening In Bengaluru – Now Hiring Deutsche Bank


Job description

Job Title- Data Science Engineer, AVP

Location- Bangalore, India

Role Description

We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems.

The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs.

This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications.



What we'll offer you

As part of our flexible scheme, here are just some of the benefits that you'll enjoy
  • 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 35 yrs.

    and above
Your key responsibilities
  • Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution.
  • Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems.
  • Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications.
  • NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP)
  • Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning.
  • Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements.
  • Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring.
Your skills and experience
  • 8+ years of professional experience in AI/ML development, with a focus on agentic AI systems.
  • Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch.
  • Experience in deploying AI models on cloud platforms (e.g., GCP, AWS).
  • Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering.

    Understanding of semantic technologies, ontologies, and RDF/SPARQL.
  • Familiarity with MLOps tools and practices for continuous integration and deployment.
  • Skilled in building and querying knowledge graphs using tools like Neo4j.
  • Hands-on experience with vector databases and embedding techniques.
  • Familiarity with RAG architectures and hybrid search methodologies.
  • Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce.
  • Strong problem-solving abilities and analytical thinking.

    Excellent communication skills for cross-functional collaboration.

    Ability to work independently and manage multiple projects simultaneously.
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
About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

We strive for a culture in which we are empowered to excel together every day.

This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.


Together we share and celebrate the successes of our people.

Together we are Deutsche Bank Group.


We welcome applications from all people and promote a positive, fair and inclusive work environment.



Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


Real-time Data Science Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in Bengaluru, India, highlighting market share and opportunities for professionals in Data Science roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Deutsche Bank adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Science Engineer, AVP Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Data Science Engineer, AVP Job Success

Deutsche Bank interview tips for Data Science Engineer, AVP

Here are some tips to help you prepare for and ace your Data Science Engineer, AVP job interview:

Before the Interview:

Research: Learn about the Deutsche Bank's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science Engineer, AVP interview at Deutsche Bank, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Deutsche Bank's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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