Data Science- AIML

Citi; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Citi in Pune, India, is seeking a senior AIML engineer to lead development, fine-tuning, and deployment of machine learning models, including LLMs. The role emphasizes collaboration with cross-functional teams and adherence to model risk management and fair lending guidelines.

Applicants should have 5+ years of AIML project experience, production ML deployment, and strong communication skills; a BTech/Masters in relevant fields preferred.

Qualifications

• 5+ years of AIML project experience in a production environment.
• Experience deploying ML models in production and monitoring performance.
• Familiarity with MLOps practices and tools.
• Strong analytical and problem solving abilities.
• Experience in a quantitative field and ability to work in a matrix environment.
• Excellent communication and interpersonal skills, willingness to learn.

Responsibilities

• Model development, fine-tuning, and deployment of ML/DL models (LLMs, internal SLMs).
• Conduct R&D to advance generative modeling and stay updated with field advancements.
• Optimize model performance, scalability, and robustness.
• Maintain clear documentation of architectures and findings (MRM).
• Collaborate with cross-functional teams to integrate AI models into applications.
• Present findings and progress to stakeholders and management.

Skills

AIML projects

Production ML deployment

MLOps practices

Problem solving

Cross-functional collaboration

Education

B.Tech (Tier 1/2)

Masters in Economics/Statistics

Tools

MLOps tools

Model deployment pipelines

Job description

Responsibilities:

• Model Development: Assist in the development, fine-tuning, and deployment of Machine Learning and Deep Learning models. Fine tune large language models or build internal SLMs from scratch.
• Research and Experimentation: Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
• Performance Optimization: Optimize and fine-tune models for performance, scalability, and robustness
• MRM Documentation: Maintain clear and comprehensive documentation of model architectures, processes, and findings

Research and Experimentation: Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field

• Performance Optimization: Optimize and fine-tune models for performance, scalability, and robustness
• Collaborative Projects: Work with cross-functional teams to integrate AI models into various applications and services.
• MRM Documentation: Maintain clear and comprehensive documentation of model architectures, processes, and findings
• Strong understanding of Model Risk Management (MRM) and Fair Lending (FL) guidelines for LLM based solutions
• Present findings and project progress to stakeholders and management.

Qualifications:

• 5+ years relevant experience with AIML Projects
• Experience with developing & deploying machine learning models in a production environment.
• Familiarity with MLOps practices and tools.
• Possess analytic ability and problem solving skills
• Working experience in a quantitative field
• Willing to learn and can-do attitude
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
• Ability to build partnerships with cross-function leaders

Education:

• Btech- Tier 1 or Tier 2 colleges
• Masters in Economics/ Statistics

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:

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:

For complementary skills, please see above.

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