Junior AI/ML Engineer

Position Overview

The Junior AI/ML Engineer supports the development, deployment, and optimization of machine learning models and AI solutions. This role works under the guidance of senior data scientists and AI leaders to contribute to enterprise AI initiatives and build foundational AI capabilities.

Responsibilities

Model Development & Support

• Assist in developing and testing machine learning models for business use cases
• Support feature engineering, data preparation, and exploratory data analysis
• Contribute to model evaluation, validation, and tuning

AI Solution Delivery

• Support implementation of AI/ML solutions within enterprise systems
• Collaborate with data engineers and data scientists to operationalize models
• Assist in monitoring model performance and identifying improvement opportunities

Data & Analytics Support

• Work with structured and unstructured data to support analytics initiatives
• Help develop dashboards and visualizations to communicate insights
• Participate in cross-functional analytics and AI projects

Process & Governance Contribution

Support documentation of models, processes, and technical artifacts

Follow established AI governance, standards, and best practices

Contribute to AI use case intake and evaluation processes

Minimum Requirements

• Bachelor’s degree or currently pursuing a Bachelor’s degree and no experience

OR

• At least 2 years of software engineering experience

Additional Requirements

• Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Desired Skills

• Experience with Python and data science libraries (e.g., Pandas, Scikit-learn)
• Familiarity with SQL and data querying
• Exposure to machine learning concepts (regression, classification, clustering)
• Basic understanding of cloud platforms or ML tools
• Experience working with Databricks, Dataiku, and Azure services
• Demonstrates strong foundational ML and data skills
• Effectively contributes to team-based AI use cases
• Learns quickly and applies best practices in AI development
• Supports scalable, production-oriented AI solutions