AI/ML Engineer

Skills

• Python
• Generative AI & LLMs
• Prompt Engineering
• RAG Architecture
• Vector Databases
• PyTorch / TensorFlow
• Azure AI / Azure ML
• MLOps (MLflow, Kubeflow)
• Databricks & Lakehouse Architecture
• Agentic AI Frameworks (LangGraph, Semantic Kernel)

Responsibilities

• Foundational enablement activities supporting the marketing organization
• Leverage existing AI tools and models for pattern detection and analysis
• Enable AI-led discovery for data ingestion, application, and load processing
• Generate and leverage existing ML/LLM models for decision-making
• Automate data processing and insight generation
• Collaborate with teams to translate insights into actionable outcomes

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

$150,000–$160,000 a year