AI/ML Engineer

Primary Responsibilities:

• Design, implement, and maintain enterprise AI/ML development and deployment capabilities.
• Build and optimize machine learning pipelines for data preparation, model training, and monitoring.
• Implement MLOps practices including model versioning, automated testing, and CI/CD workflows.

Minimum Requirements:

• Bachelor's degree in Computer Science, Data Science, or related field with 7+ years experience.
• Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Hands-on experience with Azure AI/ML technologies and enterprise production deployments.

Preferred Qualifications:

• Experience supporting federal AI/ML initiatives and working with sensitive healthcare data.
• Familiarity with LLM applications, RAG, and enterprise AI/ML monitoring.
• Microsoft Certified: Azure AI Engineer Associate or comparable certification.

Benefits:

• Health, dental, and vision plans; Safe Harbor 401(k) with employer match.
• Paid time off, 11 paid holidays, and paid parental leave.
• Tuition reimbursement, monthly phone/internet stipend, and pet insurance.