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Senior Data Scientist – Gen AI Engineer - Assistant Vice President

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 14 days ago

No clicks

**Senior Data Scientist – Gen AI Engineer - Assistant Vice President** Drive Generative AI innovation as our Senior Data Scientist – Gen AI Engineer. Lead teams, refine prompt engineering, deploy LLMs, monitor MLOps, and troubleshoot production models. Must-haves: 8-12 years' experience, Ph.D. in CS/DS, expertise in Python, TensorFlow, PyTorch, and LangChain. Collaborate with stakeholders, debug models, and stay current in the rapid GenAI landscape.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

Senior Data Scientist Gen AI Engineer - Assistant Vice President

Apply (opens in new window)
Save
Job Req Id:
26956931
Location(s):
Pune, Maharashtra, India
Job Type:
Hybrid
Posted:
Apr. 28, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Job Requirements

Minimum Qualifications:

  • Master's degree in Computer Science, Data Science, or a related field. Ph.D. preferred.
  • 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI, including experience leading technical development and mentoring teams.
  • Working with financial data and applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders to understand their needs, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and participating in team meetings.
  • Troubleshooting and debugging GenAI models in production. This often requires quickly identifying and resolving issues that arise in real-world deployments.

    Staying up-to-date with the rapidly evolving GenAI landscape. Continuous learning and exploration of new tools and techniques are essential.

    Communicating technical concepts clearly to non-technical stakeholders. This involves translating complex AI/ML jargon into understandable business terms.

  • Candidates must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. This includes not just developing models but also deploying, monitoring, and maintaining them in a live environment. Proof-of-concept work alone is insufficient. Look for candidates who can articulate the challenges and successes of deploying GenAI solutions at scale.

    Data structures (lists, dictionaries, sets), algorithms, object-oriented programming, file handling, exception handling.

    Scientific Computing: NumPy, Pandas, SciPy.

    Machine Learning: Scikit-learn, XGBoost, LightGBM.

    Deep Learning: TensorFlow, PyTorch.

    GenAI: Transformers, LangChain.

  • GenAI Specific Skills, LLM architectures, RAG, Advanced Chatbot Architecturesm Prompt Engineeringm, Fine-tuning LLMs, API Development

  • Expert-level Python skills are mandatory. This includes deep familiarity with core Python, as well as proficiency in key libraries for AI/ML and GenAI applications:

  • Proven ability to design, develop, and deploy complex GenAI projects, from initial concept to production and maintenance.
  • Deep understanding of LLMs, RAG, and advanced chatbot architectures, with practical experience building and deploying robust solutions.
  • Expert-level programming skills in Python, including extensive experience using relevant libraries like TensorFlow, PyTorch, Transformers, and LangChain.
  • Experience designing and implementing scalable API architectures for GenAI applications.
  • Extensive knowledge of Machine Learning concepts, including advanced modeling techniques, model evaluation, and deployment strategies.
  • Expertise in prompt engineering, fine-tuning LLMs, and optimizing performance for specific use cases.
  • Strong technical leadership and mentorship skills, with a demonstrated ability to guide and support other data scientists.
  • Excellent communication and collaboration skills, both written and verbal, with the ability to effectively convey technical concepts to diverse audiences.

Preferred Qualifications:

  • Experience with MLOps and building robust AI pipelines.
  • Deep understanding of cloud computing platforms and their application in GenAI.
  • Experience with developing and deploying conversational AI solutions in production environments.
  • Contributions to research and publications in the field of Generative AI.
  • Experience building and managing large datasets for training GenAI models.


Education:

  • Bachelors degree/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

This Senior Data Scientist role requires a highly motivated and skilled technical lead with a strong passion for Generative AI and a proven ability to drive technical innovation and deliver impactful results within a team setting.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Compensation

Not specified

City: Not specified

Country: India

Citi logo
Bulge Bracket Investment Banks

14 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**Senior Data Scientist – Gen AI Engineer - Assistant Vice President** Drive Generative AI innovation as our Senior Data Scientist – Gen AI Engineer. Lead teams, refine prompt engineering, deploy LLMs, monitor MLOps, and troubleshoot production models. Must-haves: 8-12 years' experience, Ph.D. in CS/DS, expertise in Python, TensorFlow, PyTorch, and LangChain. Collaborate with stakeholders, debug models, and stay current in the rapid GenAI landscape.

Full Job Description

Senior Data Scientist Gen AI Engineer - Assistant Vice President

Apply (opens in new window)
Save
Job Req Id:
26956931
Location(s):
Pune, Maharashtra, India
Job Type:
Hybrid
Posted:
Apr. 28, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Job Requirements

Minimum Qualifications:

  • Master's degree in Computer Science, Data Science, or a related field. Ph.D. preferred.
  • 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI, including experience leading technical development and mentoring teams.
  • Working with financial data and applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders to understand their needs, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and participating in team meetings.
  • Troubleshooting and debugging GenAI models in production. This often requires quickly identifying and resolving issues that arise in real-world deployments.

    Staying up-to-date with the rapidly evolving GenAI landscape. Continuous learning and exploration of new tools and techniques are essential.

    Communicating technical concepts clearly to non-technical stakeholders. This involves translating complex AI/ML jargon into understandable business terms.

  • Candidates must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. This includes not just developing models but also deploying, monitoring, and maintaining them in a live environment. Proof-of-concept work alone is insufficient. Look for candidates who can articulate the challenges and successes of deploying GenAI solutions at scale.

    Data structures (lists, dictionaries, sets), algorithms, object-oriented programming, file handling, exception handling.

    Scientific Computing: NumPy, Pandas, SciPy.

    Machine Learning: Scikit-learn, XGBoost, LightGBM.

    Deep Learning: TensorFlow, PyTorch.

    GenAI: Transformers, LangChain.

  • GenAI Specific Skills, LLM architectures, RAG, Advanced Chatbot Architecturesm Prompt Engineeringm, Fine-tuning LLMs, API Development

  • Expert-level Python skills are mandatory. This includes deep familiarity with core Python, as well as proficiency in key libraries for AI/ML and GenAI applications:

  • Proven ability to design, develop, and deploy complex GenAI projects, from initial concept to production and maintenance.
  • Deep understanding of LLMs, RAG, and advanced chatbot architectures, with practical experience building and deploying robust solutions.
  • Expert-level programming skills in Python, including extensive experience using relevant libraries like TensorFlow, PyTorch, Transformers, and LangChain.
  • Experience designing and implementing scalable API architectures for GenAI applications.
  • Extensive knowledge of Machine Learning concepts, including advanced modeling techniques, model evaluation, and deployment strategies.
  • Expertise in prompt engineering, fine-tuning LLMs, and optimizing performance for specific use cases.
  • Strong technical leadership and mentorship skills, with a demonstrated ability to guide and support other data scientists.
  • Excellent communication and collaboration skills, both written and verbal, with the ability to effectively convey technical concepts to diverse audiences.

Preferred Qualifications:

  • Experience with MLOps and building robust AI pipelines.
  • Deep understanding of cloud computing platforms and their application in GenAI.
  • Experience with developing and deploying conversational AI solutions in production environments.
  • Contributions to research and publications in the field of Generative AI.
  • Experience building and managing large datasets for training GenAI models.


Education:

  • Bachelors degree/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

This Senior Data Scientist role requires a highly motivated and skilled technical lead with a strong passion for Generative AI and a proven ability to drive technical innovation and deliver impactful results within a team setting.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save