Word Processor Engineering

Little Elm,TX

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1162 Word Processor Engineering jobs in Little Elm,TX

New, Posted 21 hours ago

Buyer (Metals)

Recaro Aircraft Seating Americas

Fort Worth, TX 76177

Quality Control Die Room

US2102 Encore Wire

Mckinney, TX 75070

$19-$20/hr

~ 26 min Onsite

Microsoft Excel and Word required

SmartExplore AI is experimental.

Application System Analyst Lead - Cadence / Grand Central / Prelude

CHRISTUS Health

Irving, TX 75039

New, Posted 15 hours ago

Area Maintenance Manager

Amazon.com Services LLC

Carrollton, TX 75011

~ 26 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or Reliability Engineering
2+ years of Amazon RME (BB/3P) Full Time experience
Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
4+ years of industrial maintenance experience
2+ years of direct leadership/supervisory experience
2+ years of Computerized Maintenance Management System (CMMS) experience
2+ years of Microsoft Office products and applications experience

SmartExplore AI is experimental.

New, Posted 21 hours ago

Spares MRP Controller I

Recaro Aircraft Seating Americas

Fort Worth, TX 76177

Claims (Billing) Specialist / Patient Account Representative - Healthcare

Guidehouse Careers

Lewisville, TX 75067

New, Posted 3 hours ago

Production Manager

UCL Connections

Carrollton, TX 75006

$70,000-$75,000/yr

Bilingual Preferred

New, Posted 16 hours ago

Food Product Development Manager, DSM

Ventura Foods

Fort Worth, TX 76137

New, Posted 3 hours ago

Estimator

CMTS LLC

Dallas, TX 75201

New, Posted 18 hours ago

Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 27 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.

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