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GenAI & ML (AIML Subject Matter Expert SME)
2 months ago
Mandatory Certification AIML certification
AIML Subject Matter Expert SME
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
