Team Description:
ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence.
Role Description:
The ML Solutions team is seeking a Senior Data Scientist to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization.
Responsibilities:
- Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
- Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team.
- Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
- Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
- Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
Recommended Qualifications:
- 8-12 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production.
- Experience with Generative AI technologies essential.
- Understanding of concepts like supervised, unsupervised, clustering, embedding.
- Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models.
- In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Google ADK or similar.
- Experience with and other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV.
- Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras.
- Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.
- Strong background in mathematics: linear algebra, probability, statistics, and optimization.
- Experience with evaluation, scoring with framework like ML Flow.
- Hands-on experience with agentic evaluation frameworks and guardrails.
- Experience of Docker container and edited a Docker file, experience with K8s is a plus.
- Experience with Postgres and Vector DBs a plus.
- Excellent problem-solving skills and the ability to think creatively.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Publications and contributions to the AI research community are a plus.
- Master’s degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
Education: Bachelor’s degree/Master's degree/Ph. D. or equivalent experience.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 8–12 years of hands-on machine learning experience delivering complex production solutions
- Experience with generative AI technologies
- Understanding of supervised learning, unsupervised learning, clustering, and embeddings
- Knowledge of NLP, named entity recognition, computer vision, transformers, and large language models
- Knowledge of deep learning and generative AI frameworks such as LangChain, LangGraph, Google ADK, or similar
- Experience with Hugging Face Transformers, spaCy, Pandas, scikit-learn, NumPy, and OpenCV
- Experience with XGBoost, LightGBM, TensorFlow, PyTorch, and Keras
- Proficiency in Python software development using object-oriented design patterns and best practices
- Strong background in linear algebra, probability, statistics, and optimization
- Experience with model evaluation and scoring frameworks such as MLflow
- Hands-on experience with agentic evaluation frameworks and guardrails
- Experience with Docker and editing Dockerfiles
- Experience with Kubernetes
- Experience with PostgreSQL and vector databases
- Excellent problem-solving and creative-thinking skills
- Strong communication and cross-functional collaboration skills
- Publications or contributions to the AI research community
- Bachelor’s, master’s, or Ph.D. degree in computer science, data science, statistics, or a related field, or equivalent experience
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
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