AIML Engineer
AIML Engineer
Posted on :
10-04-2025
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1 Vacancy
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Job Description
Total 7 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 projectsAt least 5 years of handson data science experience in using data analytics visualization statistical programming and data mining for problemsolving. 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 resultsFamiliar with MLOps tools like MLflow or Kubeflow deep learning frameworks like Tensorflow or Pytorch Familiar with CI/CD tools for deploying ML modelsKnowledge in big data systems (Hadoop Spark Hive)Working experience in Dataiku is an advantageSupport the team providing endtoend 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 insightsGenerate and test hypotheses designing experiments to answer targeted questions of advanced complexityDocuments projects including business objectives data gathering and processes leading approaches final algorithm and detailed set of results and analytical metricsWork with Product Business Analysts data scientists ML engineers business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scaleProvide thought leadership by researching standard methodologies in AI/ML 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 resultsLiaise with Global stakeholders and effectively communicate to be influential within Global AML Landscape.
Employment Type
Full-Time
Key Skills
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