Technical Instructor (AWS Machine Learning)

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube.

• →Support instructor-led training that prepares students for entry-level to mid-level careers in AI and Machine Learning infrastructure on AWS. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more.
• →Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum.
• →Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
• →Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes.
• →Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials. 

• 1-3 years of teaching or training experience 
• Strong technical background; able to grasp and convey highly technical subject matter
• Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment.
• Strong communication skills

• ML Development & Tools: Hands-on expertise with Amazon SageMaker, AWS Bedrock, and SageMaker Studio.
• Data Engineering: Proficiency in ingesting and transforming datasets using AWS Glue, S3, and SageMaker Data Wrangler.
• MLOps Orchestration: Expertise building automated ML pipelines using AWS Step Functions, SageMaker Pipelines, and CI/CD workflows.
• Security & Governance: Strong understanding of IAM policies, VPC security, and auditing via CloudWatch and CloudTrail.
• Model Monitoring: Ability to evaluate performance and bias using SageMaker Clarify and Model Monitor.
• Generative AI Integration: Ability to demonstrate the use of LLMs and Copilots for debugging code, generating notes, and automating technical documentation.
• Certification: Active AWS Certified Machine Learning Engineer – Associate or AWS Certified Data Engineer – Associate credential.

• Programming Mastery: Proficiency in Python (Pandas, NumPy) and SQL for data-centric roles.

• Bachelor's degree (or equivalent practical/industry experience)
• Strong technical aptitude (Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, etc.), project management, and organizational skills with detailed follow-through abilities 
• Excellent written communication, presentation, and customer service skills
• Solid understanding of business needs
• Strong evaluation and data management skills
• Prior knowledge or background in IT (if minimal, a desire and willingness to learn what’s needed) and a passion for technology is a plus

If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application!

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission.
• You are data-driven, result-oriented, and a forward-looking catalyst for social change.
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently.
• You are a life-long learner.
• You are an effective communicator with strong oral and written skills. 
• You are tech-savvy and learn new tools quickly. 
• You are detail-oriented, with exceptional organizational management skills.
• You have strong public speaking and interpersonal skills. You are a motivator who is personable, approachable, and socially engaging. You can cultivate relationships and build rapport quickly and authentically with people from various professional and cultural backgrounds.
• You are adept at managing your time and balancing multiple projects and tasks.
• You stand behind our mission, believing that individuals from any community should have access to well-paying career positions and that talent should be recognized and recruited from diverse sources.

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.

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