Taro Logo

Data Analytics/Machine Learning Engineer

Global financial services company providing banking and financial products and services.
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Finance

Description For Data Analytics/Machine Learning Engineer

ML Solutions team within Citi's Markets OPS Technology is seeking a Data Analytics/Machine Learning Engineer to join their innovative team. This role focuses on developing and deploying AI/ML models and Generative AI solutions, working at the intersection of financial technology and artificial intelligence. The position offers an opportunity to work with cutting-edge technologies while solving complex problems in the financial sector.

The team is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI, serving as a leader in creating innovative technology solutions for Markets Operations and other Line of Businesses. The role involves taking AI models from concept to production, utilizing traditional AI, generative AI, and Large Language Models.

As a Data Analytics/Machine Learning Engineer, you'll be responsible for hands-on development and deployment of AI solutions, ensuring quality control, participating in research activities, and collaborating with cross-functional teams. The position requires strong technical skills in Python, machine learning frameworks, and deep learning technologies, combined with a solid understanding of mathematics and statistics.

The role offers exposure to the latest developments in AI/ML, including work with Large Language Models, Generative AI, and various deep learning frameworks. You'll be part of a team that values innovation and technological excellence, working closely with business partners to deliver impactful solutions that enhance client experiences and ensure regulatory compliance.

This position at Citi provides an excellent opportunity for professional growth in a global financial institution, working with state-of-the-art technologies while contributing to solutions that have real-world impact in the financial markets sector.

Last updated 7 days ago

Responsibilities For Data Analytics/Machine Learning Engineer

  • Actively contribute to the development and delivery of AI solutions
  • Take a hands-on approach to ensure AI models are successfully deployed into production
  • Ensure quality and performance of generative AI models
  • Conduct rigorous testing and evaluation
  • Participate in research activities to explore state-of-the-art generative AI techniques
  • Collaborate with product managers, engineers, and data scientists
  • Monitor ongoing research efforts and emerging trends

Requirements For Data Analytics/Machine Learning Engineer

Python
PostgreSQL
  • Strong hands-on experience in Machine Learning
  • Experience with Generative AI technologies
  • Knowledge of NLP, Name Entity Recognition
  • Experience with Langchain, Lang Graph, Crew AI frameworks
  • Experience with Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy
  • Experience in XGBoost, LightGBM, TensorFlow, PyTorch
  • Proficiency in Python Software Development
  • Strong background in mathematics
  • Experience with ML Flow
  • Experience with Docker container and K8s
  • Experience with Postgres and Vector DBs
  • Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related field
  • 2-4 years of relevant experience

Interested in this job?

Jobs Related To Citi Data Analytics/Machine Learning Engineer