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Senior AI/ML Engineer

2 months ago

Irving, Texas, United States DGSavants Full time
Job Description

Job Summary

DGSavants is seeking a highly skilled and experienced Senior AI/ML Engineer to join our team. As a key member of our AML Global Technology team, you will be responsible for driving the development of our AI technology roadmap and providing technical expertise to our Product and Development teams.

Key Responsibilities

  • Develop and implement end-to-end ML pipelines in a large-scale enterprise setup
  • Design and develop scalable solutions for production using data science, machine learning techniques, and algorithms
  • Collaborate with data scientists, ML engineers, business stakeholders, and other technology teams to ensure quality solutions are delivered at enterprise scale
  • Provide thought leadership by researching standard methodologies in AI/ML and contributing to the development of best practices
  • Contribute to the team in various aspects, including knowledge sharing, guidance to junior members, and establishing best practices and methodologies
  • Liaise with global stakeholders and effectively communicate to be influential within the global AML landscape

Requirements

  • Total 8 years of working experience in design and development of end-to-end ML pipelines 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 pipelines 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, and CICD tools for deploying ML models
  • Knowledge in big data systems, Hadoop, Spark, Hive
  • Working experience in Dataiku is an advantage

Preferred Skills

  • Excellent communication skills 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
  • Self-starter with a high level of initiative
  • Experience in leading a team of resources as needed
  • Ability to lead end-to-end projects, including requirement gathering, design, development, and stakeholder management

Education

  • Degree in Machine Learning, Computer Science, Statistics, Applied Math, or relevant