Machine Learning Engineer

3 days ago


Saint Paul, Minnesota, United States Securian Financial Group Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Securian Financial Group. As a key member of our team, you will be responsible for designing, developing, and deploying machine learning pipelines to solve complex business problems.

Key Responsibilities
  • Lead the design and development of machine learning pipelines for advanced AI algorithms and models.
  • Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical AI solutions.
  • Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation.
  • Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
  • Deploy, test, and optimize machine learning models and data pipelines in production environments.
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, StreamSets, etc.
  • Hands-on experience with cloud computing platforms such as AWS.
  • Strong proficiency in Python and experience with NLP techniques, resources, and methodologies.
What We Offer

At Securian Financial Group, we offer a comprehensive range of benefits designed to enhance your professional growth, well-being, and work-life balance. These include paid time off, leave programs, a company-funded pension plan, health insurance, and volunteer time.

We believe in hybrid work as an integral part of our culture, allowing associates to work both virtually and in our offices. If you're in a commutable distance, you'll join us 2-3 days each week in our offices to collaborate and build relationships.

We are an equal employment opportunity employer and do not discriminate based on race, color, creed, religion, national origin, sex, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance, or any other protected status.



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