Consulting Machine Learning Engineer

Voya Financial, Inc.; Minneapolis, Hartford (MN, CT); On-site; USD 95,000 - 120,000; Full time

Job summary

Voya Financial, Inc. is looking for a data expert to join their Enterprise Data Science team in Minneapolis, Minnesota. The role focuses on turning extensive data into actionable insights and involves building custom Python packages, developing ML models, and managing data operations.

The ideal candidate has over 5 years of experience in software development with Python and MLOps, and excellent communication skills. Join a dynamic team dedicated to improving business processes and enhancing client relationships.

Qualifications

• 5+ years of experience with software development and testing in Python.
• 5+ years of MLOps experience with cloud-native infrastructure.
• Experience with data operations involving varying sensitivity levels.

Responsibilities

• Build custom Python packages/libraries.
• Develop in-house ML models including testing and validation.
• Manage and optimize GPU and CPU clusters.

Skills

Python software development

MLOps

Machine Learning

NLP

Data operations

Tools

Git

Cloud infrastructure

GPU and CPU clusters

Job description

The Enterprise Data Science team is a multi-disciplinary team of data experts that work together to convert vast amounts of business and consumer data into actionable insights, improved business decisions, and positive customer interactions. The team’s analytics are used to build, retain and strengthen our relationship with individual clients, plan sponsors and distribution partners, and to improve our business processes across the enterprise. The role is responsible to identify opportunities for efficiency and effectiveness while delivering output to our business partners, from the point of data ingestion, transformation, computation, through business consumption.

Contributions You'll Make

• Building custom Python packages/libraries
• Develop in-house ML models including testing and validation
• Design, set-up, manage and/or use git repos
• Orchestrate and synchronize AI artifact versioning (data, model, software and infra)
• Manage and optimize GPU and CPU clusters
• Identify opportunities for efficiency and effectiveness
• Deliver output to our business partners, from the point of data ingestion, transformation, computation, through business consumption.

Minimum Knowledge and Experience

• 5+ years of experience with software development and testing in Python, including object-oriented software engineering.
• 5+ years of MLOps experience, including:
  • At least 2 years with cloud-native infrastructure for machine learning and NLP (including natural language generation).
  • Experience with data operations involving varying sensitivity levels (PII/HIPAA/public).
  • 4 years of combined experience with AI, NLP, and machine learning.
  • Excellent communication skills and experience working on teams.

Preferred Qualifications

• 2+ years of experience working with data engineering and data governance teams.
• 2+ years managing teams doing data work (data science, data engineering, ml engineering, ml ops, etc.).
• Experience working with security, risk and compliance teams to simultaneously optimize efficiency and risk mitigation.
• Experience with open and closed-sourced pretrained language model management and versioning.