Jobs in the United States

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Added 15 mins ago
BC
Database Administrator
Bakersfield City School District
Bakersfield, CA
- $47.46 to $70.11 USD / hour
Demonstrated fluency of programming languages including compiled and scripting such as C#, JavaScript, Python, or PowerShell
Added 17 mins ago
J
Sr Technical Product Manager - Identity
Jobgether
Remote, United States
- $119,051 to $173,000 USD / year
Programming languages and frameworks: Ruby, Java, Python, and React.js.
Added 20 mins ago
Big Data Developer (Black Lotus Labs)
Lumen
Pierre, SD
We are seeking a Big Data Developer to build and optimize large-scale data solutions that help identify and disrupt malicious threats across the Internet. In this role, you'll leverage…
Added 20 mins ago
Senior Analyst, Compliance Technology
Coinbase
Pierre, SD
Python skills applied to automation, pipeline development, and data analysis.
Added 20 mins ago
Senior Data Scientist, Platform
Coinbase
Pierre, SD
Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
Added 20 mins ago
AT
Architect - Infrastructure Systems
Akamai Technologies, Inc.
Pierre, SD
- $146,400 to $263,600 USD / year
Developing and extending production-grade Python components and data pipelines supporting decision systems
Added 20 mins ago
Remote Sensing Scientist
Trinzic
Sioux Falls, SD
Strong programming and scripting skills in Python, MATLAB, R, or comparable languages.
Added 20 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Pierre, SD
Proficiency in Python, PowerShell, C#, or similar technologies.
Added 20 mins ago
UI Software Developer - .Net - Remote
SitusAMC
Pierre, SD
Added 20 mins ago
Senior Network Engineer
Cognizant
Pierre, SD
· Implement automation and Infrastructure as Code using Python, Ansible, Terraform, REST APIs, JSON, YAML, and Git.
Added 20 mins ago
Lead Site Reliability Engineer - Remote
SitusAMC
Pierre, SD
Experience in Scripting and Automation using any Scripting Language preferably Python
Added 20 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Pierre, SD
Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack
Added 20 mins ago
Software Engineer
Teradata
Pierre, SD
…will also have class work or independent experience with Go, Python, RESTful services, K8S, computer science fundamentals (e.g. RESTful API, algorithms), Git, and agile…
Added 40 mins ago
High-Speed Signal Integrity Engineer
Advanced Micro Devices, Inc
Santa Clara, CA
Experience with programming or scripting languages such as Python, MATLAB, Perl, or C++.
Added 45 mins ago
Senior Lead Engineer - Design Verification
Altera Corporation
San Jose, CA
Experience with C/C++, SystemC, Python, Tcl, Perl, or shell scripting for reference models, automation, testbench infrastructure, or verification productivity.
Added 49 mins ago
J
Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
Strong knowledge of at least one programming language, such as C# (ASP.NET Core), Python, or JavaScript/TypeScript.
Added 49 mins ago
Director, Innovation
Jobgether
Remote, United States
Working proficiency in Python or JavaScript/TypeScript, as well as SQL.
Added 53 mins ago
O
Senior Manager, Platform Software Engineering
Oracle
United States
- $132,000 to $306,400 USD / year
Proficiency in one or more modern programming languages (Java, Python).
Added 53 mins ago
O
Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Redwood City, CA · Santa Clara, CA · Reston, VA
- $91,400 to $187,000 USD / year
Proficiency with Python or similar programming language experience with Linux
Added 1 hour ago
Director, Spirits Portfolio Strategy
Gallo
Dallas, TX
Proven experience with large language models, automated forecasting, and Python coding.
Added 1 hour ago
DO
Engineer, Water Resources
Department of Water Resources
CA
- $6,488 to $12,152 USD / month
…orally and in writing. Programming knowledge and experience in PYTHON, FORTRAN, MS Excel, WRESL, GIS and water resources simulation modeling. The incumbent is also required to work…
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Fresno, CA
- $80,000 to $140,000 USD / year
Basic knowledge of SQL, Python, or other data analysis tools is a plus
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Bakersfield, CA
- $80,000 to $140,000 USD / year
Basic knowledge of SQL, Python, or other data analysis tools is a plus
Added 1 hour ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Sacramento, CA
- $80,000 to $140,000 USD / year
Basic knowledge of SQL, Python, or other data analysis tools is a plus
Added 1 hour ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Bakersfield, CA
- $80,000 to $120,000 USD / year
Basic knowledge of SQL, Python, or other data analysis tools is a plus

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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