Machine Learning Engineer

The Artificial Intelligence Engineer is responsible for advancing the state of security at Northwestern Mutual by leveraging Large Language Models, modern frameworks, and industry best practices. The candidate will be part of a small team focused on rapidly iterating on new ideas to demonstrate the value of AI within NM’s security space. Candidates should be experienced in Python and modern Dev Ops practices to deliver metrics‑driven results.

• Engineer machine learning solutions with a focus on automation using Python, AWS, and Git Lab to reduce manual and repetitive tasks.
• Implement and maintain pipelines and software dependencies for model delivery.
• Develop monitoring and performance telemetry to ensure expected capabilities.
• Monitor, assess, and recommend tactical and strategic initiatives based on new and emerging threats posing risks to our environments.
• Stay apprised of current and emerging machine learning frameworks, models, and MLOps best practices.

• Passionate about Dev Ops and machine learning.
• A standout colleague who enjoys collaborating with cross‑functional teams.
• A great communicator (written and verbal) with the ability to articulate complex topics clearly and concisely.
• Someone who employs a flexible and constructive approach when solving problems.
• Continuously looking for opportunities to improve processes and capabilities.
• Proficient with development and scripting languages, with Python preferred.
• Experienced working with application and engineering teams.
• A self‑directed individual contributor.

• Bachelor’s degree, Associate's degree, or equivalent experience with an emphasis in Cybersecurity, Computer Science, Computer Engineering, Software Engineering, MIS, or a related field.
• 2–4+ years of experience in software engineering or Dev Ops engineering.
• Knowledge of Dev Ops and automation practices and architectures.
• Understanding of Object‑Oriented Programming (OOP) and familiarity with common Python and machine learning libraries.
• Experience with AWS technologies (Lambda, Step Functions, S3, Redshift, Dynamo
  
  DB, etc.).
• Experience with CI/CD pipelines to automate application and infrastructure code deployments.

Cloud Security (NM) - Creates a set of policies, technologies, applications, and controls across the cloud ecosystem to protect virtualized IP, data, and the cloud computing infrastructure.

Analytical Thinking: Organizes and compares various aspects of a situation to comprehend and identify key or underlying complex issues through the use of quantitative data and analysis; leverages strong business acumen, problem solving, and interpersonal skills to think critically about situations from multiple perspectives and consistently seeks ways to improve processes.

Software Development (NM) - Creates and maintains applications, frameworks, and other software components via designing, programming, testing, and bug fixing; writes and maintains source code for all processes in the software development life cycle and facilitates the automation and orchestration of disparate systems. Leverage TDD (Test Driven Development) and BDD (Behavior Driven Development) methodologies to ensure unit, integration, and end‑to‑end testing with appropriate level of coverage is met.

Scripting & Integration (NM) - Applies scripting knowledge to automate and integrate different transactional systems to carry out a task or automation; uses systems that facilitate or automate one or more business application solutions, including records maintenance, inventory management, process analytics, and general admin.

Engineering Expertise & Practices (NM) - Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles.

Compensation Range:
Pay Range - Start: $94,640.00 Pay Range - End: $

Geographic Specific Pay Structure:

Structure 110:

Structure 115:

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