Role overview
Our Research & Development (R&D) team is the technical talent at the heart of our product suite, overseeing the product development lifecycle from concept to delivery. From engineering to quality assurance to data science, the R&D team ensures our customers seamlessly use our products and can depend on their consistency.
This position, under the general direction of the Lead and/or Manager, Machine Learning Engineering, will be responsible for technical and development support for our award-winning K-12 software. This role will help in all AI/Generative AI/Agents products in the areas of engineering, data, deployment and infrastructure.
What we're looking for
Essential duties and responsibilities include the following. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
- Uses Generative AI models (GPT4, Claude, Gemini), other LLMs, Agents and LangChains, CrewAI, Strands to build different AI, Agents driven intelligent solutions
- Experience in building GenAI based solution in auto-pilot or co-pilot mode which run in production at scale
- Experience in building Responsible AI guardrails and metrics around traditional AI or Gen AI models
- Familiar with latest Gen AI, Agent based products and AI coding tools in the market
- Fundamental understanding of NLP, transformer, embedding space and evaluation metrics
- Design and implement finetuning SLMs, Core Machine learning models and data ingestion pipelines
- Experience in dealing with "messy" enterprise data and building ETL transformations to facilitate more effective AI decision-making
- Experience in building software products used in production
- Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements
- Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources
- Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs
- Deploy ML models in AWS environment specifically in AWS Sage Maker environment
- Perform root cause analysis for production issues where the root cause is in infrastructure, environment, configuration, or deployment routines; understand when to escalate to product development teams; remediate root causes and implement preventative actions
- Establish standards and practices around MLOps, including governance, compliance, and data security
- Experience with AI or Agent driven complex ETL generation and data transformation preferred
To be considered for and to perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.
Compensation & Benefits:
PowerSchool is committed to a diverse and inclusive workplace. PowerSchool is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers PowerSchoolers to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you have a disability and need an accommodation regarding our recruiting process, please let us know by emailing [email protected].