AI/ML Engineer

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: Responsibilities:

Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutionsAligning AI/ML use cases with business strategies and key performance indicators and other metricsWorking closely and lead software engineers to build new applications to run on AI/ML platformsPerform data analysis, feature engineering, and NLP training to optimize model performanceMonitoring current and future trends and advancements in AI, machine learning, and other emerging technologiesProvide 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 platformsInterfaces 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. Good 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. Education: Bachelor’s degree/University degree or equivalent experienceThis 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 SkillsPlease see the requirements listed above. ------------------------------------------------------Other Relevant SkillsFor complementary skills, please see above and/or contact the recruiter.

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