Machine Learning Engineer Senior (Hybrid)

$67,000 - $125,000/Yr

Securian Financial - Saint Paul, MN

Full-time - Mid Level

Hybrid - Saint Paul, MN

5,001-10,000 employees

Insurance Carriers and Related Activities

About the position

The Machine Learning (ML) Engineer will be responsible for developing and deploying ML pipelines and models into production to address specific business challenges. This role involves collaborating with various stakeholders to ensure the solutions meet business objectives and implementing monitoring capabilities to track model performance.

Responsibilities

• 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.

Requirements

• Bachelor's degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, or Statistics.
• 2-3+ years of relevant experience in developing code in programming languages such as Python or Java.
• 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.

Nice-to-haves

• AWS Cloud certification.
• Spark/Java development experience.
• Previous experience or knowledge of Insurance/ Financial Services industry.

Benefits

• Paid time off including personal days and vacation time.
• Flexible leave programs for parental, caregiver, bereavement, and military leave.
• Company-funded pension plan and a 401(k) retirement plan with contributions tied to company performance.
• Health insurance coverage for employees and eligible family members from the first day of employment.
• Volunteer paid time off and a dollar-for-dollar matching gift program.
• Associate Resource Groups for building connections and support.