Technical Instructor (AWS Machine Learning)

About the role

Per Scholas is seeking an AWS Machine Learning instructor to join our team. The ideal candidate is detail-oriented, problem-solving, adaptable, and accountable. The position supports instructor-led training preparing students for AI and Machine Learning careers on AWS.

Responsibilities

• Daily instruction
• Assessment administration
• Attendance management
• One-on-one tutoring
• Daily evaluation and monitoring of student progress
• Addressing student violations consistently
• Providing access to relevant resources
• Collaborating with the team to identify student needs
• Maintaining and updating Salesforce/LMS with grades, certifications, and progress notes
• Maintaining and updating training curricula, syllabi, lesson plans, and classroom materials

Requirements

• Instructional Skill Sets: 1-3 years of teaching/training experience, strong technical background, ability to convey complex topics, clear communication skills
• Technical Skills: Hands-on expertise with Amazon SageMaker, AWS Bedrock, SageMaker Studio, AWS Glue, S3, SageMaker Data Wrangler, AWS Step Functions, SageMaker Pipelines, CI/CD workflows, IAM policies, VPC security, CloudWatch, CloudTrail, SageMaker Clarify, Model Monitor, LLMs, Copilots
• Professional Qualifications: Bachelor's degree (or equivalent), proficiency in Python/Pandas/NumPy, SQL, Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, strong technical aptitude, project management, organizational skills, excellent written and oral communication, data management, evaluation, public speaking, interpersonal skills, detail-oriented, time management, mission alignment, passion for technology, collaborative and flexible work style, life-long learner, motivated, approachable, socially engaging, quick tool adoption, and strong public speaking and interpersonal skills.

Qualifications

• Active AWS Certified Machine Learning Engineer – Associate or AWS Certified Data Engineer – Associate credential
• Programming Mastery: Proficiency in Python (Pandas, NumPy) and SQL
• Preferred Skill Sets: Programming Mastery, Professional Qualifications, Technical Skills

Benefits

• Holidays & PTO: Over 40 days of paid time off annually, including holiday pay and wellness hours
• Medical Coverage: Multiple medical plans through Cigna or Kaiser Permanente, Health Reimbursement Account (HRA)
• Dental and Vision Insurance: Two dental plans and a vision plan
• Retirement Savings: 401(k) plan with a 100% employer match up to 6%
• Employee Assistance Program (EAP): Free, confidential counseling, legal support, and financial resources
• Parental Leave: Up to 6 weeks of paid parental leave
• Additional Benefits: Life and AD&D Insurance, short-term disability coverage, accident, critical illness, hospital indemnity, legal services, pet insurance, healthcare concierge support, financial wellness tools, employee discount programs