Citi
Citi
Citi — жеке тұлғаларға, корпорацияларға, үкіметтерге және ұйымдарға қызмет көрсететін жаһандық банк және қаржылық қызметтер компаниясы. Оның қызметтері жеке банкингті, кредиттік карталарды, әл-ауқатты басқаруды, корпоративтік банкингті және инвестициялық банкингті қамтиды әрі 100-ден астам елдегі операцияларымен қамтамасыз етіледі. Ірі халықаралық қаржы ұйымы ретінде Citi банк ісі, қаржылық қызметтер және финтех салаларында жұмыс істейтін командаларды біріктіреді.

Senior Lead Python AI and Machine Learning Engineer

Lead the architecture and delivery of scalable generative AI and predictive machine learning systems for Citi’s US retail banking fraud prevention. Drive MLOps practices and mentor engineering teams.

Сипаттама

  • Guide the development and launch of advanced AI and machine learning products.
  • Architect production generative AI solutions, from retrieval-augmented generation and autonomous agents to semantic search and multimodal workflows.
  • Tune Google Gemini, Anthropic Claude, and open-source language models for speed, cost, and quality.
  • Develop prompt engineering frameworks, model fine-tuning pipelines, evaluation benchmarks, and safety controls.
  • Set predictive ML architecture for anomaly detection, graph neural networks, and supervised and unsupervised classification.
  • Build dependable, fast, horizontally scalable Python services and APIs.
  • Connect vector databases, distributed caches, and event streaming systems.
  • Establish MLOps and LLMOps workflows for CI/CD, automated retraining, observability, and drift detection.
  • Create AI capabilities to identify identity theft, account takeovers, synthetic identities, card-not-present fraud, and unusual transactions.
  • Apply generative AI to streamline fraud triage and summarize investigations from unstructured information.
  • Maintain compliance with US banking regulations.
  • Coach data scientists and software engineers in the Chennai engineering hub.
  • Set the technical roadmap, assess AI frameworks, run proofs of concept, and present architecture proposals to global engineering leaders.
  • Improve fraud detection, false-positive rates, inference speed, code quality, test coverage, and investigator efficiency.

Талаптар

  • Hold a bachelor’s or master’s degree in computer science, data science, artificial intelligence, applied mathematics, or a related quantitative discipline.
  • Bring 10–12 years of professional software engineering experience, including development of production AI and ML systems.
  • Demonstrate advanced Python 3.x skills, including multiprocessing or asyncio, design patterns, profiling, packaging, and clean coding practices.
  • Have substantial applied experience with PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM.
  • Show a record of building production generative AI applications with tools such as LangChain, LlamaIndex, CrewAI, or AutoGen.
  • Have practical knowledge of embedding models, dense retrieval, reranking, and vector indexing methods.
  • Bring hands-on experience with AWS, GCP, or Azure, plus Docker, Kubernetes, and PySpark or Ray.
  • Have delivered end-to-end ML lifecycles, from data validation through real-time inference monitoring.
  • Have integrated Google Gemini and Anthropic Claude APIs, including tool or function calling, context caching, and prompt optimization.
  • Experience with fraud rule engines, anomaly detection platforms, or predictive risk models is preferred.
  • Familiarity with transaction monitoring, behavioral biometrics, and fraud consortium datasets is preferred.
  • Be highly proficient in Python, SQL, and Bash.
  • Have experience with vector databases, backend APIs, data streaming, MLOps, DevOps, explainable AI, and masking personally identifiable information.
  • Be able to meet US banking regulatory requirements, including FCRA, GLBA, SR 11-7, fair lending, and explainable AI standards.

Артықшылықтар

  • Hybrid work arrangement.
  • Equal opportunity employer.
  • Reasonable accommodations available for people with disabilities.

Ұқсас жұмыс орындары

Carrefour Marketplace

Remote Customer Service Operator – Commercial Call Center

Carrefour Marketplace

Provide remote customer support for Carrefour Marketplace in Brazil, handling requests and promoting financial products by phone. The role combines service and sales, with performance targets.

Ашу
American Express

Merchant Support Specialist – German

American Express

Retain high-value Austrian-market merchants by resolving KYC documentation gaps and supporting accounts through phone and email. Help protect merchant revenue while maintaining compliance.

Ашу
Verily

Customer Success Manager, Clinical Research Sites

Verily

Manage customer relationships, product adoption, retention, and renewals for Verily’s clinical trial management platform. Support healthcare and clinical research customers remotely across the United States.

Ашу
RMG Recruitment Agency

Japanese-Speaking Customer Support Officer

RMG Recruitment Agency

Assist clients with account, platform, and complaint enquiries for an international FX and CFD broker. The role is remote from Japan and involves email, phone, and CRM support.

Ашу
Vatica Health

Director of Customer Success, Healthcare SaaS

Vatica Health

Lead strategic account success, retention, and growth for Vatica Health and Cozeva. Connect risk adjustment and quality solutions to enterprise healthcare priorities and measurable outcomes.

Ашу
CargoSprint

Customer Success Representative – CargoSprint Platform

CargoSprint

Support CargoSprint’s digital cargo platform and VIP customers by resolving production issues and coordinating with engineering teams. Use customer insights and performance data to improve cargo systems, service processes, and client relationships.

Ашу
42dot

Reinforcement Learning Engineer, Autonomous Driving

42dot

Develop and optimize reinforcement learning policies for 42dot’s autonomous-driving models. Build self-play simulations, scenario rollouts, and safety evaluations to improve driving performance.

Ашу
ReOrbit

Safety and ESD Engineer

ReOrbit

Lead ESD controls, risk assessments, and safety compliance for spacecraft assembly, integration, and testing. ReOrbit develops software-enabled satellites for secure communications.

Ашу
Victaulic

Senior Acoustical and Vibration Engineer

Victaulic

Develop Victaulic’s vibration isolation and acoustic engineering capabilities. Review noise control designs and advise consultants, engineers, and company leadership.

Ашу