Overview
On Site
Depends on Experience
Contract - W2
Contract - 48 Month(s)
Skills
NLP
Natular Language Processing
scikit-learn
TensorFlow
PyTorch
spaCy
NLTK
Job Details
We are seeking a highly skilled and experienced AI/ML Engineer to play a critical role in development and delivery of Generative AI solutions at Citi. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions.
Responsibilities:
- 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/B testing for conversation flows.
Qualifications:
- 2-3 years of hands-on experience in AI/ML and NLP.
- Proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, NLTK).
- Experience with data analysis, visualization tools, and NLP training methodologies.
- Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai).
- Experience working with large language models (LLMs) such as GPT-4, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.
Good to Have:
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform).
- 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 in AI, Data Science, Computer Science, Engineering or related disciplines; Master s degree in similar areas is a plus
Minimum Skills Required:
- 2-3 years of hands-on experience in AI/ML and .
- 2+ yrs proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, NLTK).
- 2+ yrs experience with data analysis, visualization tools, and NLP training methodologies. Familiarity w"
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