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Added 8 mins ago
Staff Growth Technology Manager
Intuit
Oakland, CA · San Diego, CA · Mountain View, CA · Charlotte, NC
Experiment Design & Scaling: Design and run paid marketing experiments end-to-end (hypothesis, test/control, budget parity, results analysis) and turn outcomes into scaling decisions, in…
Added 11 mins ago
Research Environmental Scientist - Hydrometeorology
RTI International
Durham, NC · UNAVAILABLE
Perform data processing, quality control, and automation using scripts and tools.
Added 14 mins ago
IT Security Engineer
CoolSys
UNAVAILABLE
Automate repeatable security operations using PowerShell, Python, REST APIs, JSON, configuration management, or infrastructure automation.
Added 27 mins ago
S
Electrical Engineer
Subsense
Mountain View, CA
- $90,000 to $110,000 USD / year
Write or modify small scripts for instrument control, data collection, and test automation using existing code, examples, and team guidance.
Added 39 mins ago
New Glenn Stage 2 Structural Analyst III
Blue Origin Personnel, LLC
United States
Participate in subsystem test planning, execution, data reduction, and analysis
Added 43 mins ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Write clear, maintainable Python, PySpark, and SQL for data processing, validation, reconciliation, and automation.
Added 1 hour ago
O
Principal Core Infrastructure Engineer
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
Write robust, well-tested production code in languages such as Java, Go, C++, Rust, or Python.
Added 1 hour ago
Systems Administrator
BAE Systems
Rome, NY
…Systems Administrator to join a cross-functional team providing test and demonstration support to our Air Force customer. The qualified candidate will possess a breadth of experience…
Added 1 hour ago
Data Engineering/Analytics Support
CACI, INC.-FEDERAL
Norco, CA
Scripting & Automation: Support the development and maintenance of automated scripts using MATLAB or Python to streamline data extraction, cleaning, and transformation. Training and…
Added 1 hour ago
Data Engineering/Analytics Support
CACI, INC.-FEDERAL
Norco, CA
Scripting & Automation: Support the development and maintenance of automated scripts using MATLAB or Python to streamline data extraction, cleaning, and transformation. Training and…
Added 1 hour ago
Data Engineering/Analytics Support
CACI, INC.-FEDERAL
Norco, CA
Scripting & Automation: Support the development and maintenance of automated scripts using MATLAB or Python to streamline data extraction, cleaning, and transformation. Training and…
Added 1 hour ago
Senior Firmware Engineer, Embedded Platform
Firestorm
United States
Develop and maintain embedded software, test automation scripts, and integration tools using Python, C/C++, Bash, and Shell
Added 1 hour ago
Offensive Security AI Engineer
Micron Technology
Boise
Proficiency in Python, C#, Go, PowerShell, or another language used for security tooling and automation.
Added 1 hour ago
SRAM Design Lead
Micron Technology
Boise · Albany
Develop or improve automation for macro assembly, simulation setup, corner execution, results extraction, characterization, validation, and regression using Python, Tcl, Perl, SKILL, or…
Added 1 hour ago
Sr. Yield Enhancement Electrical Failure Analysis Engineer
Micron Technology
Boise
Proficiency with data analytics, scripting, automation, or programming tools (e.g., Python, SQL, JMP, Power BI, Tableau, or equivalent).
Added 1 hour ago
Principal Software Engineer - Simulation Data, Validation & Infrastructure
Irving, TX
…high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous validation. This Principal Engineer role is a hands-on technical leadership position responsible for…
Added 1 hour ago
Principal Software Engineer - Robotics & Physical AI Simulation
Irving, TX
…high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous…
Added 1 hour ago
Principal Software Engineer - Digital Twin and Simulation Platform
Irving, TX
…high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous…
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Principal Software Engineer - Agentic AI & Simulation Automation
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…high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous…
Added 2 hours ago
Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…Access Management (IAM) platforms with a strong emphasis on automation, orchestration, and AI-enabled identity services. Develops scalable identity architectures that improve security,…
Added 2 hours ago
Cloud & Hosting - Senior Product Owner - Modern Engineering
GlaxoSmithKline LLC
Philadelphia, PA
…developer tooling (GitHub, Azure DevOps etc), infrastructure automation (Red Hat Ansible Automation Platform), cloud hosting on Azure and Google Cloud, observability, and AI-enabled…
Added 2 hours ago
KC
CCD Sensor Engineer
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale - faster and better than ever before. That's where…
Added 2 hours ago
Sr. Model Engineer, Voice
SpaceXSI
Palo Alto, CA
Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
Added 2 hours ago
SD
Systems Engineer - Mechatronics, Electrical
Sigma Design
Redmond, WA
- $95,000 to $137,000 USD / year
Scripting experience, preferably Python, for test automation and data analysis.
Added 2 hours ago
SD
Systems Engineer - Embedded Firmware
Sigma Design
Redmond, WA
- $95,000 to $137,000 USD / year
Scripting experience, preferably Python, for test automation and data analysis; familiarity with version control and firmware continuous integration

Federal Express Corporation

AI Engineer II

Memphis, TN, United States
Coraopolis, PA, United States
Plano, TX, United States

$11,410.38 USD / month

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Job details

Pay: $11,410.38 USD / month
Education: Bachelor’s degree
Experience: This includes 2+ years of hands-on experience with a deep learning framework.
Posting language: English
Posted: Nov 4, 2026

Original job description

Domicile Information:

Business Summary:

The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive insight, and advanced analytics across the enterprise. As a hands-on builder, this role applies software engineering principles to write production-quality code, build scalable AI systems, including AI Agents and data pipelines, and integrate AI models into new and existing business applications. The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to bring machine learning models from prototype to production. A critical part of this function is to ensure that AI use cases are transitioned from experimentation into reliable, governed, and business-ready solutions by owning their complete operational readiness. This includes implementing robust observability, defining Service Level Objectives (SLOs), and establishing clear incident response and rollback strategies for all AI services.

Job Responsibilities:

Model Development & Implementation - Write clean, efficient, and well-documented code to develop and implement machine learning and AI models that support various business use cases. Implement data engineering and preprocessing workflows required for model inputs. Continuously optimize the performance and scalability of AI applications and models. ML Pipelines & Operations (MLOps) - Design, develop, and maintain scalable ML pipelines for model training, validation, inference, and deployment. Collaborate with ML Ops Engineers to package and deploy models into enterprise systems using established MLOps practices. Monitor deployed models in production for performance, data drift, and reliability, and troubleshoot and resolve any issues that arise. Establish and own the operational readiness of all AI services by defining and implementing Service Level Objectives (SLOs) for key metrics, such as p50/p95 latency and availability, and creating robust monitoring and alerting for model drift, latency, and error rates. Collaboration & Integration - Work closely with Data Scientists to transition experimental models and research prototypes into robust, production-ready systems. Support the integration of AI capabilities into enterprise workflows, applications, and digital platforms. Contribute to the documentation and explainability of model outputs to ensure clarity for business stakeholders. Governance & Strategy - Ensure all deployed AI systems comply with enterprise governance, fairness, and security standards. Evaluate emerging AI technologies, such as LLMs and generative AI, to assess their applicability to business problems and drive innovation.

Preferred Skills, Knowledge, and Experience:

Core Technical & AI Proficiency - Strong coding skills in Python, Java, or C++, including API development and software design. Deep understanding of core machine learning concepts, including classification, regression, clustering, and deep learning architectures. Hands-on experience with modern deep learning frameworks and algorithms (supervised/unsupervised), such as PyTorch, TensorFlow, or similar for building and training complex neural networks. Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems. Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models. End-to-End ML Model Lifecycle - Proven experience in the end-to-end model lifecycle: developing, training, and deploying machine learning models from prototype to production. Mastery of data preprocessing, feature engineering, and model evaluation techniques to ensure robust and accurate model performance. Demonstrated ability to build and optimize scalable data pipelines for training and evaluating machine learning models. Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications. Software & MLOps Engineering - Solid foundation in software engineering best practices, including version control (Git), automated testing, and CI/CD pipelines. Hands-on experience with containerization using Docker and container orchestration with Kubernetes for scalable deployment. Expertise in MLOps observability, including model monitoring to track performance and drift, and establishing model/version lineage, telemetry, and traceability. Experience implementing advanced testing and deployment strategies, including canary/shadow deployments and comprehensive test suites (unit, integration, adversarial, regression). Demonstrated ability to integrate AI models and services into enterprise applications by building and consuming RESTful APIs. Cloud & Infrastructure - Proficiency with at least one major cloud platform (GCP, AWS, Azure) and its associated AI/ML services (e.g., Vertex AI, SageMaker, Azure ML). Experience with big data technologies, such as Apache Spark or similar, for processing large-scale datasets in a cloud environment. Collaboration & Frontend Development - Strong problem-solving and analytical skills, with the ability to collaborate effectively in an Agile development environment. Excellent communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Experience with modern frontend JavaScript frameworks such as React, Vue.js, Angular or similar for building user-facing applications that consume AI models.

Minimum Education Bachelor’s degree in Computer Science, Data Science, Engineering, or related field is required; Master’s is highly preferred. Minimum Experience Must have independently built, trained, and iterated on multiple ML models. This includes 2+ years of hands-on experience with a deep learning framework.

Pay Range:

Plano, TX: $8,896.99 / mo - $12,010.93 / mo Pittsburgh, PA: $8,896.99 / mo - $12,010.93 / mo Memphis, TN: $8,452.14 / mo - $11,410.38 / mo

Preferred Qualifications:

Pay Transparency:

Pay: Plano, TX: $8,896.99 – $12,010.93; Pittsburgh, PA: $8,896.99 – $12,010.93;Memphis, TN: $8,452.14 – $11,410.38

Additional Details:

For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

Know Your Rights
Pay Transparency
Family and Medical Leave Act (FMLA)
Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

E-Verify Notice (bilingual)
Right to Work Notice (English) / (Spanish)

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