The Machine Learning Lead 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 in order 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.
Machine Learning engineer will be responsible for evaluating and enhancing the accuracy of existing machine learning (ML) models for Risk and Controls products. Perform statistical analysis to resolve data set problems and demonstrate solid data science knowledge and experience in a related machine learning role.
**Responsibilities:**
+ Designing and development of machine learning algorithms and systems.
+ Transforming data science prototypes and applying appropriate ML algorithms and tools.
+ Advanced proficiency with Python, Java, and R code writing.
+ Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
+ Ensuring that algorithms generate accurate user recommendations and predictions.
+ Solid experience in designing and implementing NLP (Natural Language Processing) based AI projects.
+ Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
+ Running tests, performing statistical analysis, and interpreting test results.
+ Demonstrate knowledge on automating CI/CD workflow for AI projects.
+ Documenting machine learning processes.
+ Keeping abreast of developments in machine learning.
+ Able to direct team on how to develop and deliver AI systems that are efficient with resource usage such as hardware, runtime, performance, load, and memory requirements.
+ Performance various ML techniques to improve the accuracy of ML models.
+ Accountable for executing and driving results on large-scale efforts or multiple smaller efforts and serving as a development lead for most medium and large projects. This includes expertise with application development methodologies and standards for program analysis, design, coding, testing, debugging and implementation.
+ Accountable for exhibiting a strong understanding of client core business functions.
+ Required to support situations in which end user consultation is required to identify system function specifications and incorporate them into overall system design and delivery. Additionally, utilize comprehensive knowledge of multiple areas within technology to achieve technological objectives.
+ Independent work style, requiring little or no guidance by more senior developers. Decisions will make a significant, measurable impact on the business goals for the client organization. During team discussions you will play a significant role with TPMs and engineering managers to determine potential risks to a schedule.
+ Assist in the planning and managing of application development assignments generally involving large budgets, cross functional projects or multiple projects. This includes effectively understanding and analyzing both technical and business risks and impact.
+ Expected to effectively communicate those risks to the business owners, so that they can make informed decisions.
+ Accountable for providing guidance on architecturally significant efforts during the preplanning phase, and ensuring principles and best practices are followed prior to initiation of work. In doing so, closely watch and evaluate roadmaps, including impacts to support upcoming journeys.
+ Empower SDEs and their teams by mentoring and coaching.
+ Drive clarity and work with complete independence as business and or technical strategy is not defined.
+ Accountable for the overall strategy and for driving the teams inside and outside of your organization to deliver expected results. Drive mindful discussion with business and technical stakeholders that lead to timely decisions. Participate in discussions to drive smart trade-off decisions that balance efforts, delivery timelines, features, and technical constraints. Identify and remove blockers and always find the path forward in challenging situations.
+ Create plans that have a clear path to delivery. Solve for dependencies between agile and waterfall delivery efforts. Help your teams organize for delivery while maximizing resources for the greater good of the Digital organization. Understand engineering best practices and apply best practices to the software development lifecycle (SDLC)
+ Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels. Recognize discordant views and take part in constructive dialog to resolve them.
**Qualifications:**
+ 6-10 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas.
+ At least two years' experience as a machine learning engineer.
+ Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citis internal and external cloud platforms (AWS, PCF, Akamai)
+ Lead resources and serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward.
+ Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology including innovative approaches and new opportunities.
**Education:**
+ Bachelors/University degree, Masters degree preferred
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**Job Family Group:**
Technology
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**Job Family:**
Digital Software Engineering
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**Time Type:**
Full time
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Effective November 1, 2021, Citi requires that all successful applicants for positions located in the United States or Puerto Rico be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccination prior to commencement of employment.
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
