Data Jobs in Cranberry Township, PA

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Today

AI Engineer

MSA Safety Cranberry Township, PA

Cranberry Township, PA

Today

Full time Agentic Ai AI Ai Agent

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Job Description

MSA Safety is building an AI Platform and is hiring an AI Engineer to design, build, and scale AI-enabled applications in a hybrid setup from Cranberry Township, PA.

Responsibilities

Design and build AI-enabled applications and services for intelligent search, agentic workflows, and artifact generation
Develop and orchestrate agentic systems that include tool use, multi-step reasoning, and evaluation loops informed by real-world feedback
Deploy, monitor, and continuously improve models and AI services on AWS
Collaborate with stakeholders across MSA business functions to translate real needs into tools for productive day-to-day use
Participate in architectural discussions and support technical decision-making across the team
Produce clean, maintainable, well-documented code and follow strong engineering practices including Git, code review, CI/CD, and testing

Requirements

Bachelor’s Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
Experience building AI-enabled applications, ideally with agentic workflows, tool orchestration, and evaluation
MLOps experience, including model deployment, monitoring, and evaluation in a cloud environment (AWS preferred)
Proficiency in Python; TypeScript is a plus
Working experience with at least one major ML framework: PyTorch or TensorFlow
Strong understanding of transformer-based models, including multimodal architectures
Familiarity with parameter-efficient fine-tuning such as LoRA and QLoRA, plus model optimization techniques including quantization, pruning, and distillation
Understanding of end-to-end software systems across the stack and in the cloud, including containers, serverless functions, databases, and observability/telemetry
Solid software engineering fundamentals with a history of clean, well-tested code
Ability to adapt at a fast pace, with curiosity to learn new tools and frameworks as the AI ecosystem evolves
Excellent communication skills, able to explain complex technical concepts to technical and non-technical stakeholders

Technologies

Python, TypeScript, PyTorch, TensorFlow
LoRA, QLoRA, quantization, pruning, distillation
AWS, containers, serverless functions, databases, observability/telemetry
Git, CI/CD, Hugging Face
AWS Bedrock, Bedrock AgentCore, Strands
SAP, Salesforce, SQL, ETL
Vision Transformers, CNNs

Career Levels

Level I: 0-1 years of experience
Level II: 1-3 years of experience
Senior: 3-5 years of experience

Preferred Education and Experience

Master’s Degree
Experience with open-source models via Hugging Face and managed services such as AWS Bedrock and Bedrock AgentCore, plus agent SDKs like Strands
Experience working with enterprise ERP and CRM systems including SAP and Salesforce
Experience delivering in an agile development environment
Experience with Vision Transformers and/or CNNs
Familiarity with SQL, ETL, and working with large datasets

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