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Operations Servicing Apps Dev Programmer Analyst

Citigroup

Operations Servicing Apps Dev Programmer Analyst

Citigroup

CHENNAI, Tamil Nādu, India

·

On-site

·

Full-time

·

2w ago

The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

  • Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions

  • Aligning AI/ML use cases with business strategies and key performance indicators and other metrics

  • Working closely and lead software engineers to build new applications to run on AI/ML platforms

  • Perform data analysis, feature engineering, and NLP training to optimize model performance

  • Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies

  • Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design.

  • Explore and prototype novel techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.

  • Build and maintain chatbot solutions using bot builder platforms

  • Interfaces with vendors to assess their technology and to guide their product roadmap based on Citi requirements.

  • Requires sophisticated analytical thought to resolve issues in a variety of complex situations.

  • Develop and maintain applications using Node.js and JavaScript, along with relevant frameworks.

  • Contribute to the development of Generative AI use cases and proof-of-concept projects.

  • Uses developed communication skills to negotiate and often at higher levels.

  • Collaborate with cross-functional teams to integrate AI/ML and NLP solutions into existing products and systems.

  • Perform batch testing and quality assurance of chatbot performance and other NLP applications.

  • Develop and maintain NLP pipelines for text processing and analysis.

  • Implement API and system integrations.

  • Manage databases for storing and retrieving user data using MongoDB, SQL, or other NoSQL databases.

  • Conduct A/BT testing for conversation flows.

  • 2-4 years of hands-on experience in AI/ML and NLP.

  • Proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, Tensor Flow, Py Torch, spa Cy, NLTK).

  • Experience with data analysis, visualization tools, and NLP training methodologies.

  • Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai).

  • Experience working with large language models (LLMs) such as GPT-4, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.

  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

  • Experience with MLOps practices.

  • Contributions to open-source AI/ML or NLP projects.

  • Experience with Generative AI models and applications.

  • Deeper expertise with Kore.ai platform, including NLP training and batch testing (preferred for one position).

  • Experience with Java and Spring Boot.

  • Knowledge of Unix/Linux operating systems.

Qualifications:

  • 2-4 years of relevant experience
  • Experience in programming/debugging used in business applications
  • Working knowledge of industry practice and standards
  • Comprehensive knowledge of specific business area for application development
  • Working knowledge of program languages
  • Consistently demonstrates clear and concise written and verbal communication

Education:

  • Bachelor’s 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.

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.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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About Citigroup

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

Employees

New York City

Headquarters

Reviews

3.3

4 reviews

Work Life Balance

3.0

Compensation

3.2

Culture

2.8

Career

2.5

Management

2.7

35%

Recommend to a Friend

Pros

Compensation increases for investment banking roles

Legitimate investment banking employer

Internship opportunities available

Cons

Unclear career progression paths

Limited meaningful experience in internships

Compensation raises lower than competitors

Salary Ranges

28 data points

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Business Risk Intermediate Analyst

1 reports

$77,165

total / year

Base

$67,100

Stock

-

Bonus

-

$77,165

$77,165

Interview Experience

5 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 40%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Programming Assessment

4

Hiring Manager Interview

5

Panel/Superday Interviews

6

Final Decision

Common Questions

Technical Knowledge

Case Study

Behavioral/STAR

Past Experience

Culture Fit