Senior Machine Learning Engineer (Hybrid)

*Securian Financial is hiring a Machine Learning Engineer or Senior Machine Learning Engineer. Title and salary depend on experience and skills.*

Overview:

The Senior Machine Learning (ML) Engineer will be responsible for developing and deploying ML pipelines and deploying ML models into production to solve specific business problems and implementing monitoring capabilities to track and troubleshoot model performance.

Responsibilities include but not limited to:

• Develop and deploy ML pipelines to solve specific business problems.

• Deploy ML models into production systems, ensuring scalability, reliability, and efficiency.

• Collaborate with data scientists and domain experts to identify and engineer relevant features for improving model accuracy and robustness.

• Work closely with product managers, software engineers, and other stakeholders to understand requirements, prioritize tasks, and deliver ML solutions that meet business objectives.

• Implement monitoring and logging mechanisms to track model performance in real-time and address any issues that arise.

• Conduct hyper parameter optimization to fine-tune model performance and improve generalization on unseen data.

• Design, prototype and build ML systems, frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.

• Translate data science prototypes into scalable production implementations.

• Partner with data scientists to troubleshoot and optimize complex data pipelines.

Qualifications:

• Bachelor's degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, or Statistics preferred.

• 2-3+ years of relevant experience in developing code in programming languages such as Python or Java.

Required Skills:

• Experience with data preprocessing, feature engineering, and model evaluation techniques.

• Experience with containerization technologies such as Docker and Kubernetes.

• Familiarity with cloud computing platforms such as AWS, GCP, or Azure.

• Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

• Experience with SQL for data extraction.

• Ability to work independently and collaboratively in a fast-paced, agile environment.

Preferred Skills:

• AWS Could certification.

• Spark/Java development experience.

• Previous experience or knowledge of Insurance/ Financial Services industry.

Soft Skills:

• Strong communication skills and the ability to collaborate effectively with business partner, vendors, end users, and cross-functional teams.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Excellent problem solving, numerical and analytical skills related to working with structured and unstructured datasets.

• Strong competencies to lead and drive key initiatives.

• Attention to detail and willingness to learn.

#LI-hybrid **This position will be in a hybrid working arrangement*

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you’re in a commutable distance (90 minutes) you’ll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules. 

For more information regarding Securian’s benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, 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. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at Employment@Securian.com, by telephone 651-655-5522 (voice), or 711 (Relay/TTY).

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