1216 Aiml Engineer Staffing jobs in Frisco,TX

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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Automation Engineer , RME Regional SSD-FC

Amazon.com Services LLC - A57

Irving, TX 75061

~ 32 min 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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New, Posted 6 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Highland Village, TX 75077

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 6 hours ago

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AI Engineer- Senior Associate

KPMG

Dallas, TX 75201

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Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

12+ years of experience
BS in Civil Engineering
Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
Hydrologic, hydraulic, hydrodynamic and 2D modeling
ArcGIS and related tools
Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
Minimum three days a week in-office

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New, Posted 6 hours ago

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Sr. Associate, Data Engineering & AI

KPMG

Dallas, TX 75201

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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 30 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required

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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 32 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.

SmartExplore AI is experimental.