815 Aiml Engineer Information Technology jobs in Denton,TX

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Manufacturing Engineer 2

Safran

Gainesville, TX 76240

~ 34 min Onsite

B.S degree in a related technical field (e.g.: Industrial Engineer, Mechanical Engineer, Manufacturing Engineer/Technology, Aeronautics Engineer, or Electrical Engineer) or an Associate degree with 6 years related experience or 12 years of job related experience
Bachelor's Degree
ITAR Controlled Position: Select "Yes" if role requires U.S. citizenship/permanent residency
Must have basic knowledge of production methods, process capabilities, tooling processes, and manufacturing processes
Must be capable of preparing well-written reports and orderly reports
Must have basic knowledge of manufacturing and related operations with detailed knowledge of such fields as product design, engineering function, tool design, tool fabrication, ergonomics and EHS, space layout, handling equipment, production machinery and equipment, N/C machinery and equipment, factory methods work, etc...
Strong knowledge of all Microsoft Office software and Operating Systems
Must have the ability to generate written communication and to operate required office equipment.
Ability to read and review written communication.
Speech and hearing abilities that allow individual to communicate clearly and distinctly in English.

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

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Information Technology Professional (IT Support)

U.S. Navy

Denton, TX 76210

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 36 min OnsiteEducation 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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Manufacturing Engineer - Industrialization Leader

Safran

Gainesville, TX 76240

~ 34 min Onsite

B.S degree in a related technical field (e.g.: Industrial Engineer, Mechanical Engineer, Manufacturing Engineer/Technology, Aeronautics Engineer, or Electrical Engineer) or an Associate degree with 6 years related experience or 12 years of job related experience
One to three years of manufacturing experience preferred but not required
Catia or design modeling a plus
Must have basic knowledge of production methods, process capabilities, tooling processes, and manufacturing processes
Must be capable of preparing well-written reports and orderly reports
Must have basic knowledge of manufacturing and related operations with detailed knowledge of such fields as product design, engineering function, tool design, tool fabrication, ergonomics and EHS, space layout, handling equipment, production machinery and equipment, N/C machinery and equipment, factory methods work, etc...
Knowledge and experience in Lean Manufacturing principles preferred
Strong knowledge of all Microsoft Office software and Operating Systems
Must have the ability to generate written communication and to operate required office equipment.
Ability to read and review written communication.
Speech and hearing abilities that allow individual to communicate clearly and distinctly in English.
Yes

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Information Technology Professional (IT Support)

U.S. Navy

Corinth, TX 76210

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Field Service Engineer, ARC

The ESAB Group

Denton, TX 76210

Requires Travel

Associate degree in electronic engineering technology or 2-3 years related experience; or equivalent combination of education and experience.
Exposure to high-voltage systems (240V, 460V, and 575V three-phase voltages).
Experience with structured training methodologies and learning management platforms (e.g., Critical Path, ESAB University).
Strong electrical and mechanical background and knowledge of equipment repair and troubleshooting.
Hands on experience repairing welding and cutting (or equivalent) equipment.
Effective problem-solving and analytical skills.
Proficient in project management tools such as Microsoft Project as well as Microsoft Office applications (Word, Excel, PowerPoint, and web-based training / LMS portals).
Ability to support the needs of and interact appropriately with cross-functional personnel.
Excellent customer relationship building skills and ability to work cross-functionally and culturally.
Excellent written and verbal communication skills and presentation skills are required.
Remains in a stationary position 50% of the time and involves additional physical demands such as ascending/descending stairs, walking stooping and standing.
Must wear Personal Protective Equipment 'PPE' when working/visiting manufacturing and plant locations.
Constantly operates a computer and other office productivity machinery including but not limited to printer, tablets, cell phones.
Moves transports, puts, or removes equipment weighing up to 50 lbs.; pushes, pulls products weighing up to 200 lbs. using provided safety tools.
May be exposed to varying weather during travel.

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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 25 min OnsiteEducation 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.

SmartExplore AI is experimental.

New, Posted 18 hours ago

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Senior Associate, Cloud Engineer - Terraform

KPMG

Dallas, TX 75217

Minimum three years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
Bachelor's degree in Computer Sciences from an accredited college/university
Master of Business Administration (MBA) is preferred
Past or current certifications (e.g. Microsoft, AWS, Cisco, Azure, VMware) is preferred
Terraform highly perferred
Technology experience, including IaaS/PaaS (Azure or Amazon Web Service), infrastructure automation/orchestration technologies (e.g. Chef, Puppet, BladeLogic), server, storage, high availability architecture and infrastructure transformation from strategy to design and implementation
Ability to travel as needed
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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Skunkworks Staff Manufacturing Engineer (Level 4)

Lockheed Martin

Fort Worth, TX 76108

Paid Relocation to Fort Worth, TX

~ 40 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors degree required to apply
Experience in a manufacturing environment working cross functionally with other disciplines including industrial engineering, planning, scheduling, Quality Assurance &/or production operations.
Experience supporting vehicle systems installations & integration into a final product and/or rigging experience for moveable surfaces. Experience should include some combination of the following systems: electrical harness installation, fuel systems, hydraulic systems, related systems, landing gear, and door rigging.
Active secret security clearance, with investigation in the last 5 years.
Ability to obtain special program access within 3 months of start date with LM.
Ability to travel 25 - 75% of the time, or based on business needs.
This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret with Investigation or CV date within 5 years

SmartExplore AI is experimental.