AI Engineer

Industry: Artificial Intelligence
Company size: 1-10

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Job description

An industry-leading actuarial company specializing in optimizing the economic value for an array of loyalty programs across various domains is seeking a seasoned AI Engineer. This role is integral to advancing our predictive analytics and data science capabilities, using large datasets and sophisticated machine learning models. The company is transforming the insights generated from favorite frequent flyer programs, hotels, banks, or retail loyalty systems. The position offers an environment ripe for professional growth, where innovation is both encouraged and valued in melding actuarial theory with cutting-edge machine learning and big data technologies.

Job Responsibilities:

  • Lead the development of transformer-based deep learning models and algorithms to solve complex business challenges by exploring various approaches to enhance accuracy and efficiency
  • Manage large datasets for preprocessing and feature engineering, partnering with data engineering teams to ensure data quality and accessibility
  • Drive the training and evaluation of machine learning models, employing suitable frameworks and libraries to accomplish target performance metrics
  • Collaborate closely with software engineering teams to deploy models into production, ensuring seamless integration with current systems
  • Commit to the ongoing improvement of machine learning models and methodologies, keeping pace with industry advancements and fostering a culture of knowledge exchange within the team

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • A minimum of 5 years of experience in a Machine Learning role, emphasizing hands-on transformer-based deep learning model development and deployment
  • Strong proficiency in using Python for data science and familiarity with machine learning libraries such as TensorFlow and PyTorch
  • Expert-level knowledge in Natural Language Processing (NLP) and associated technologies, with a solid understanding of transformers applications
  • Demonstrated experience in data preprocessing, feature engineering, model training, evaluation, and deployment
  • A background in leveraging PyTorch, TensorFlow, or PySpark for complex data science projects
  • Experience in working with Deep Learning and an interest in other nice-to-have skills such as PyTorch and PySpark
  • Ability to dissect business problems and devise effective technical solutions, coupled with superior problem-solving skills
  • Excellent communication capabilities to work effectively across multidisciplinary teams and articulate technical concepts to non-technical stakeholders
  • Excellent spoken and written English communication

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