6 дней назад
AI Engineer I
7 488 - 10 444$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer I (AI/MLOps): Building and operating production AI systems, ML pipelines, data pipelines, and AI agents for enterprise automation and analytics with an accent on model lifecycle management, observability, governance, and scalable deployment. Focus on integrating LLM and generative AI capabilities, defining SLOs, monitoring model drift and latency, and transitioning research prototypes into reliable business applications.
Location: Hybrid position in Plano, TX; Pittsburgh, PA; or Memphis, TN. Candidates must live within 50 miles of the campus location and work onsite several times per week.
Salary: $7,882.48–$10,444.28 per month in Plano or Pittsburgh; $7,488.36–$9,922.07 per month in Memphis.
Company
develops enterprise data, analytics, and artificial intelligence solutions for FedEx.
What you will do
- Design, develop, deploy, and maintain production AI and machine learning solutions, including AI agents and data pipelines.
- Build scalable pipelines for model training, validation, inference, and deployment.
- Transition research prototypes and experimental models into reliable enterprise applications.
- Establish operational readiness through SLOs, monitoring, alerting, observability, incident response, and rollback strategies.
- Integrate AI services into business workflows and digital platforms using APIs.
- Apply governance, fairness, security, explainability, and risk standards to deployed AI systems.
Requirements
- Bachelor's degree or equivalent formal training in computer science, information systems, or a related field.
- Five or more years of experience in IT information security, with knowledge of security and risk frameworks.
- Strong coding skills in Python, Java, or C++, plus experience with API development and software design.
- Experience with machine learning, deep learning, PyTorch or TensorFlow, data preprocessing, feature engineering, SQL, NoSQL, and ETL pipelines.
- Experience with MLOps, Git, automated testing, CI/CD, Docker, Kubernetes, cloud platforms, and model monitoring.
- Must live within 50 miles of the Plano, Pittsburgh, or Memphis campus and work onsite several times per week.
Nice to have
- Experience with LLMs, prompt engineering, fine-tuning, LangChain, LangGraph, and RAG systems.
- Knowledge of GCP, AWS, or Azure AI/ML services and big data technologies such as Apache Spark.
- Experience with React, Vue, Angular, or similar frontend frameworks for applications using AI models.
Culture & Benefits
- Hybrid work with regular access to a FedEx campus.
- Full-time regular employment.
- Comprehensive employee benefits.
- Equal employment opportunity and reasonable accommodation support.
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