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Machine Learning Engineer

2 months ago

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Job Title: Machine Learning Engineer

At Securian Financial, we are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems.

Key Responsibilities:
  • Design and develop machine learning models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to integrate machine learning models into larger system architectures
  • Develop and maintain high-quality, scalable, and efficient machine learning pipelines
  • Work with large-scale datasets and build ETL pipelines using Spark, Kubeflow, and StreamSets
  • Experience with cloud computing platforms such as AWS
  • Strong proficiency in Python and experience with NLP techniques, resources, and methodologies
  • Experience integrating machine learning models and data-driven algorithms into larger system architectures
Requirements:
  • Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields
  • 5+ years of experience in a similar role in a production environment
  • Experience working with large-scale datasets and building ETL pipelines using Spark, Kubeflow, and StreamSets
  • Hands-on experience with cloud computing platforms such as AWS
  • Strong proficiency in Python and experience with NLP techniques, resources, and methodologies
  • Experience integrating machine learning models and data-driven algorithms into larger system architectures
What We Offer:
  • A comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance
  • A hybrid work arrangement that allows for flexibility and work-life balance
  • A collaborative and dynamic work environment
  • Opportunities for professional growth and development

Securian Financial is an equal opportunity employer and welcomes applications from diverse candidates. If you are a job seeker with a disability and require an accommodation to apply for this job, please contact us by email at [email address] or by telephone (voice) at 711 (Relay/TTY).