Avp - Gen Ai - Fraud Analytics Ds - C12 - Bangalore

2 weeks ago

Bengaluru Karnataka, India Citigroup Full time

**Responsibilities**:

- Design, Develop and deploy generative AI based solutions for various Fraud prevention area.
- RAG Frameworks - Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements.
- Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.
- Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
- Optimize and fine-tune models for performance, scalability, and robustness.
- Strong experience in prompt engineering
- Implement and maintain AI pipelines and infrastructure to support model training and deployment.
- Perform data analysis and preprocessing to ensure high-quality input for model training.
- Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.
- Mentor junior team members and provide technical guidance.
- Write and maintain comprehensive documentation for models and algorithms.
- Familiarity with MLOps practices and tools.
- Contributions to open-source projects or published research in top-tier conferences/journals.

Qualifications:

- 8+ years of experience in machine learning and deep learning, with a focus on generative models.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience working with Model Risk Management team for model approval and governance related work.
- Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
- Solid understanding of machine learning algorithms, data structures, and software engineering principles.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Ability to build partnerships with cross-functional teams in order
- Working experience in a quantitative field, Financial/Credit Card industry
- Willing to learn and can-do attitude
- Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment

**Education**:

- Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.

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

**Preferred Skills -**
- Familiarity with MLOps practices and tools.Job Family Group:
Decision Management
- **Job Family**:
Specialized Analytics (Data Science/Computational Statistics)
- Time Type:
Full time
- Most Relevant Skills

Please see the requirements listed above.
- Other Relevant Skills

Data Science, Generative AI, Machine Learning, Machine Learning Operations, Natural Language Processing (NLP).

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