Consulting Machine Learning Engineer

Key Skills

Aartificial intelligence, Data Engineering, Data science techniques, Machine learning techniques, Natural Language Processing (NLP), Python Programming

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.

The 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 MLOps experience :
• 2+ years of experience with cloud-native infrastructure for machine learning and NLP (including natural language generation) including :
• Data operations with data of varying levels of sensitivity (PII/HIPPA/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