Azure AI/ML Engineer

Must Have Technical/Functional Skills

• Azure
• Core .NET Technologies
• Azure ML

Roles & Responsibilities

• Design, build, deploy, and maintain end‑to‑end machine learning solutions across data ingestion, model training, and production deployment systems
• Develop data pipelines and implement ML models using Python
• Integrate models into existing application layers (APIs / services)
• Apply Microsoft SFI knowledge to create secure ML infrastructure aligned with enterprise security standards
• Build and maintain MLOps / CI‑CD pipelines for automated model training, validation, and deployment using secure connections and identity‑based access

Good to have

• AI engineering skills (team is building custom copilots and intelligent agents)

Generic Managerial Skills

• Open AI
• DevOps

Pay

$90,000 – $130,000 a year

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

This response is AI-generated, for reference only.