The Lead Machine Learning Engineer role is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.


We are looking for a strong Lead Data Scientist with Software engineering experience to join Citis Infinity/DocuService (AI/ML in-house platform) team that focuses on document digitization, information extraction, and classification. The Infinity team and product automate the process of extracting information from documents, making it possible for more people from IT to business to process more documents for transactions safer, and faster


Job description:


**What you will be doing:**


+ Contribute to the design, development, test, and operational excellence of the Infinity platform layer and libraries supporting it. Specifically, around our in-house inner-source AI/ML library. You will be working on challenging NLP classification and entity extraction problems to bring business value to our clients

+ Take ownership of the end-to-end quality of the code deployed to production

+ Work with a multi-culture and multi-background group of Machine Learning Engineers, Data Scientist, and front-end developers to tackle tough design, product, and engineering problems

+ Translate business requirements into technical development plans for execution


**Who you are:**


+ You have around 7 years of professional experience building commercial software products. Our product uses Python; you have professional experience with these or similar languages

+ You take initiative and can turn ideas into real features

+ You enjoy discussing use cases & user flows with product managers, business analyst, and contributing ideas to those discussions

+ You have strong NLP experience, building text-based classifiers, NER and extraction of entities from documents; you have professional experience on this area

+ You have exposure to OCR, Image quality adjustment and improvement; you have professional experience on this area

+ You have experience with containerization, our team uses Docker, OpenShift, Kubernetes; you have professional experience with these or similar technologies

+ You have experience in data life cycle with web applications, our team uses Flask, MongoDB, PostgreSQL; you have professional experience with these or similar technologies


**Bonus qualifications (nor required):**


+ You have experience contributed on being part of an initiative that extracts and classifies documents using Machine Learning

+ You have experience building CI/CD pipelines, our team uses Jenkins, Git, and SonarQube, you have experience with these or similar technologies

+ You have experience building or contributing to open or inner source libraries. Our team uses Python, you have professional experience building enterprise libraries (open-source contributions are a big bonus)

+ You have experience with data pipelining, our team uses Apache Airflow, you have professional experience with this or similar technologies (i.e., KubeFlow)


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.


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**Job Family Group:**


Technology

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**Job Family:**


Data Science

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**Time Type:**


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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.