1134 Aiml Model Deployment Engineer jobs in Dallas,TX

New, Posted 3 hours ago

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AI/ML Developer - AI Trainer

DataAnnotation

Coppell, TX 75019

Flexible ScheduleBilingual Preferred

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Principal Engineer - Python API Development

Fidelity Investments

Fort Worth, TX 76102

~ 44 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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New, Posted 15 hours ago

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.

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Sub-Assembly Technician

Solar Turbines Incorporated

Desoto, TX 75115

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

This position requires working onsite five days a week.
Any offer of employment is conditioned upon the successful completion of a drug screen.
Visa Sponsorship is not available for this position.

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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min Onsite

Time management skills.
Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
Attention to details and ability to focus on assignment.
Knowledge of reading engineering technical drawings, including GD&T; callouts
Effective English communication skills, including writing.
Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
Have good computer skills and able to use Microsoft office products.

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New, Posted 1 day ago

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Property Adjuster Specialist - Field

USAA

Addison, TX 75001

Requires TravelUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or General Equivalency Diploma
2 years of relevant property claims adjusting experience of moderate complexity losses that includes writing estimates, involving dwelling and structural damages
Advanced knowledge of estimating losses using Xactimate or similar tools and platforms
Proficient knowledge of residential construction
Proficient knowledge of property claims contracts and interpretation of case law and state laws and regulations
Proficient negotiation, investigation, communication, and conflict resolution skills
Proven investigatory, analytical, prioritizing, multi-tasking, and problem-solving skills
Ability to travel 50-75% of the year (local & non-local) and/or work catastrophe duty when needed
Acquisition and maintenance of insurance adjuster license within 90 days and 3 attempts
Currently hold an active Adjuster License
Currently reside within or have the ability to self-relocate to the territory of Irving, TX

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New, Posted 15 hours ago

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MVP, Cloud Engineering & Operations (Enterprise Technology Operations)

Gartner

Irving, TX 75039

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Assembler

PURVIS INDUSTRIES LLC

Fort Worth, TX 76137

~ 44 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

1-3 years' experience assembling electrical control panels, industrial equipment, or mechanical assemblies.
Ability to read and interpret electrical schematics, wiring diagrams, and mechanical drawings.
Proficiency with hand tools, power tools, and mechanical fabrication.
Understanding of wiring techniques, terminations, labeling, and cable management.
Detail-oriented with strong craftsmanship and pride in work.
Ability to safely lift up to 50 lbs and stand for extended periods.
Strong communication and teamwork skills.
High school diploma or GED required.

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Cable Assembly Drafter

Amphenol

Allen, TX 75002

~ 25 min Onsite

Ability to read (write and speak in English) and interpret assembly drawings/specifications from internal and external sources.
Ability to read and interpret engineering drawings and blue prints.
Proficient in AutoCAD/Visio, Solidworks (preferred) or equivalent 3D modeling software.
Proficient in MS Office Suite
Possess good interpersonal skills and ability to work in a team environment
Liaison with engineering/sales/manufacturing personnel
Able to move from design concept to finished design, including layouts and tolerance valuations and detail drawings.
Ability to learn and execute established procedures and programs
Complete all applicable reports and required project documentation
Able to follow established procedures to complete required cable assembly designs
U.S. Citizen or Permanent Resident to satisfy AFSI ITAR requirements
One to two years' college or trade school education in engineering drawing/CAD design
Minimum five (5) years' on-the-job experience.
An equivalent combination of education and experience may be substituted for formal training
Position requires candidates to be U.S. person as defined in ITAR, 22CFR 120.15 (U.S. Citizenship or Resident Alien Status)

SmartExplore AI is experimental.