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AIML Subject Matter Expert SME

2 months ago

Irving, United States DGSavants Full time
Job DescriptionJob Description

JOB DESCRIPTION

This is a senior technology role in AIML space in a fast paced delivery organization supporting regulatory compliance This position is part of AML Global Technology team and will work closely with data scientists ML professionals project managers architecture teams and other stakeholders The individual will be responsible to drive the development of the AI technology roadmap provide the required support to the Product team for end to end life cycle encompassing design development and deployment of ML based solutions at an enterprise scale to support business use cases

The individual should also be able to support multiple projects end to end provide technical expertise and guidance to both Product and Development teams and be responsible for successful execution of the projects running in AML monitoring space

RESPONSIBILITIES

Support the team providing end to end solution starting from understanding the requirements creating research proposals implementation of the research by exploring different methods and algorithms documenting and presenting results

Use analytical and statistical methods programming and data modeling to analyze large amounts of data and come up with actionable insights

Generate and test hypotheses designing experiments to answer targeted questions of advanced complexity

Documents projects including business objectives data gathering and processes leading approaches final algorithm and detailed set of results and analytical metrics

Work with Product Business Analysts data scientists ML engineers business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale

Provide thought leadership by researching standard methodologies in AIML collaborating and contribute actively on the standards and best practices

Contribute to the team in various aspects knowledge sharing guidance to more junior members contribute to shared code library establish best practices and methodologies

Take ownership and have end to end responsibility from planning stage to presenting results

Liaise with Global stakeholders and effectively communicate to be influential within Global AML Landscape

QUALIFICATIONS

Total 8 years of working experience in design and development of end-to-end ML pipeline with at least 5 years of relevant experience in providing expertise in large scale ML projects

At least 5 years of hands-on data science experience in using data analytics visualization statistical programming and data mining for problem-solving Domain knowledge and experience in Banking and AML is a plus.

Proven experience in analysis design development and implementation of end-to-end ML pipeline in a large scale enterprise setup

Excellent understanding of data science machine learning techniques algorithms and toolkits to develop scalable solutions for production

Applied quantitative and statistics skills such as statistical analysis distributions multivariate testing regression classification and optimization algorithms etc to design tests interpret and explain results

Familiar with MLOps tools like MLflow or Kubeflow deep learning frameworks like Tensorflow or Pytorch

Familiar with CICD tools for deploying ML models

Knowledge in big data systems Hadoop Spark Hive

Working experience in Dataiku is an advantage

OTHER SKILLS:

Excellent communication skills ability to explain complex technical concepts and analysis implications to varied audiences

Ability to translate business objectives into actionable analysis

Proven ability to work with teams that are geographically separated

Should be a selfstarter with a high level of initiative

Experience in leading a team of resources as needed

Should be able to lead endtoend project including requirement gathering design development and stakeholder management

EDUCATION:

Degree in Machine Learning Computer Science Statistics Applied Math or relevant