Citi Group AI/ML Engineer - Contractor Conversion C-13 VP 

United States, Florida, Tampa 

406409204

The AI/ML Engineer - is a critical role with the objective of exploring, developing, testing, deploying, enhancing, and maintaining machine learning and artificial intelligence capabilities integrated with Sanctions Screening and Workflow management systems.

A broad understanding of AI/ML concepts and techniques, agile methodologies, cloud computing, intelligent chatbots, and related aspects is essential for the role. Additionally, a key aspect of this role involves the design and refinement of prompts to effectively communicate with generative AI models and to guide them, optimizing their output for a variety of technical applications and producing high-quality and contextually relevant content.

Another success factor for the role will be documentation of model performance and other metrics andof results to pertinent audiences, including senior leadership. Along with a strong technical foundation, a creative, imaginative, forward-looking attitude. Furthermore, a total quality assurance orientation is indispensable in all activities and outputs.

Key Responsibilities:

• Design and Develop Machine Learning/Deep Learning models/LLM for Text Classification tasks for screening systems.
• Enhance existing AI/ML capabilities through ideation, exploration, testing, prioritization, and implementation
• Conduct training and evaluate different algorithms including RF, Decision Trees, SVM, XGBoost, Naive Bayes and Neural Networks like LSTM, CNN, RNN etc.
• Fine-tune pre trained LLMs on domain specific datasets to improve performance on targeted tasks.
• Perform analytics on AI/ML capabilities usage to understand trends, patterns, and pain points and implement a sustainable feedback loop to ensure positive, continually improving user experiences.
• Explain the analysis of results in a methodical, analytical, visually-appealing manner
• Collaborate with Innovation, technology, vendor, and information security teams on updates, enhancements, releases, and other procedural requirements
• Assess current capabilities and chart a path for continuous improvement of the AI/ML capabilities value and impact
• Prepare, manage, and maintain model risk management (MRM) documentation on model performance and accuracy
• Engage with MRM team on adhering to and fulfilling requirements for MRM process
• Engage with relevant stakeholders on use case ideation, planning, development, and deployment
• Apply strong project management skills to develop project plans, timelines, milestones, and demonstrate progress toward objectives
• Utilize excellent communication skills to ideate, educate, and present internally, often at senior levels (across functions); expected to communicate with external parties
• Help shape the direction of machine learning and artificial intelligence capabilities in Screening workflow process
• Drive tool innovations based on stakeholder needs, including adoption of new technologies and techniques
• Implement and evaluate different preprocessing, feature extraction, prepare text for model training.
• Perform and Automate Hyperparameter tuning for ML and DL models using techniques such as grid search, random search, Optuna.
• Implement Parameter Efficient Fine Tuning (PEFT) to optimize resource usage and improve fine tuning efficiency.

Qualifications:

• 6-10 years’ experience in AI, machine learning, and model development and deployment
• 5+ years experience in Designing and Developing Machine Learning/Deep Learning models/LLM for Text Classification tasks.
• 5+ years experience in implementing Large Language models such as BERT, Flan T5, Llama and Mistral for various NLP tasks, text generation and classification.
• 5+ years experience working with different algorithms including RF, Decision Trees, SVM, XGBoost, Naive Bayes and Neural Networks like LSTM, CNN, RNN etc
• Solid understanding of data structures and data models
• Experiment with multiple prompts to guide the behavior and output of LLMs of specific tasks.
• Experience in analytics, reporting, and visualization for the analysis and presentation of results.
• Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs)
• Design of AI/ML model performance metrics and optimization
• Intermediate to Advanced level Python coding
• Advanced SQL

Preferences:

• Possess an innovative, forward-looking, and imaginative mindset to continually reach for new horizons in innovation.
• Demonstrable experience working with stakeholders and exceeding their expectations
• Take responsibility and accountability for planning, execution, and delivery
• Positive attitude and a change-driven andchange-orientedoutlook
• Adept at developing new ideas and improving current processes
• Consider broad implications of decisions to different functions and units
• Ability to thrive in a fast-paced, results-oriented environment
• Familiarity with Financial Services industry and/or auditing a plus
• Excellent communication and interpersonal skills, with ability to develop strong working relationships and foster team collaboration
• Possess excellent writing skills to deliver clear and concise messages, able to articulate complex concepts
• Agile and waterfall project management methodologies; JIRA a plus

Education:

• Bachelor’s degree Information Technology or Computer Science /University degree or equivalent experience

Anticipated Posting Close Date:

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