AI/ML Engineer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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
Bachelor’s degree/University degree or equivalent experience

Nice to have:

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

Additional Information:

Job Posted:
July 29, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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AI/ML Engineer