1353 Aiml Engineer jobs in Irving,TX

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Principal Engineer - Python API Development

Fidelity Investments - Irving, TX

Principal Engineer - Python API Development

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

New, Posted 1 day ago

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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent
2+ years of PLC programming or automation engineering experience
Experience with PLC-controlled automation and issue diagnosis in a continuous process or production environment
Experience with robotics work cells and its control systems
Experience with Ladder Logic and structure programming from Siemens, Allen-Bradley, or Codesys PLCs
Experience with electrical theory, robotics, controls components, and automated equipment
PLC/PC controllers
Industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus
Motor control systems
Servo drives
Frequency drives
Electrical distribution systems
Move up to 49lbs as well as stand and walk during shifts lasting up to 12 hours, with or without reasonable accommodation
Climb ladders and gangways safely and without limitation
Regular bending, lifting, stretching, and reaching both below the waist and above the head
Engage in full manual dexterity in both hands and wrists

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 26 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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Automation Engineer , RME Regional SSD-FC

Amazon.com Services LLC - A57

Irving, TX 75061

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience

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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 32 min OnsiteFlexible Schedule

3-6 years of professional technical writing experience in aerospace, defense, or a similarly regulated industry; direct exposure to joint or multi‑agency programs preferred.
Familiarity with systems engineering concepts, system architecture, and/or basic hardware/software terminology; ability to read schematics, block diagrams, and/or software code excerpts.
Bachelor's degree in Engineering, Computer Science, Technical Communication, or a related technical field.
Ability to obtain and maintain a Secret (or higher) clearance as required by the program.
This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret

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Automation Engineer, IAH1 RME

Amazon.com Services LLC

Dallas, TX 75215

~ 24 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent
2+ years of PLC programming or automation engineering experience
Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
Experience in PLC based controls design, development, implementation and support

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Manager, AI Engineer

KPMG

Dallas, TX 75217

~ 24 min OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

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New, Posted 14 hours ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires Travel

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

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New, Posted 21 hours ago

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Automation Engineer

Amazon.com LLC - A03

Fort Worth, TX 76102

Flexible Schedule

New, Posted 1 day ago

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Automation Engineer , RME Regional SSD-FC

Amazon.com Services LLC - A57

Irving, TX 75061

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience

SmartExplore AI is experimental.