973 Aiml jobs in Dallas,TX

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Principal Engineer - Python API Development

Fidelity Investments - Irving, TX

Principal Engineer - Python API Development

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

New, Posted 18 hours ago

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Automated Machine Operator

Ecolab

Garland, TX 75040

$26.02/hr

~ 26 min OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School diploma or GED
1 year of experience working in a manufacturing environment using the following equipment: filler, sleeve labeler, cappers, tape machine, bar coders, ink jet printer, hand wrenches, hand stamps, palletizers, lid presses
1 year of experience working with automated processes in a manufacturing environment
1 year working with Microsoft Office Programs (Word, Excel and Outlook)- tablets are used in this role
No immigration sponsorship available for this role
Position requires lifting/carrying up to 50 lbs

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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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Manager, AI Engineer

KPMG

Dallas, TX 75217

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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Remote Customer Service

Hire Standard Staffing

Dallas, TX

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen

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Call Center Rep Work From Home

Hire Standard Staffing

Dallas, TX

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen

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Warehouse Associate

Forward Air, Inc.

Coppell, TX 75019

~ 31 min Onsite

Minimum of 3 years of experience in inventory control or warehouse operations.
Proven experience with cycle counting, reconciliations, and variance resolution.
Proficiency in Microsoft Office 365 (Excel, Outlook, Word).
Experience with Warehouse Management Systems (WMS).
Ability to lift up to 50 lbs. and work on feet for extended periods in a fast-paced environment.
Must be flexible with scheduling and available to work overtime as business needs dictate.
Ability to work independently with minimal supervision.

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Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

1+ years of related experience
Bachelor's degree in Manufacturing Engineering Technology or similar field
Experienced with tooling (fixtures, cutters, and other manufacturing equipment) and CNC machining processes
Experience reducing defects and increasing productivity/throughput
Proven track record of data driven approach to solving problems
MUST BE A U.S. CITIZEN
Secret clearance
The work associated with this position will be performed onsite at a designated Lockheed Martin facility

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CODER 2 MMG

Methodist Health System

Dallas, TX 75215

OnsiteHealth InsuranceRetirement Benefit

A minimum of 2 years recent experience in the outpatient (primary care & surgical) setting.
Must hold Certified Professional Coder (CPC) or Certified Coding Specialist – Physician (CCS-P) with the appropriate level of experience

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Technical Writer

Megger

Dallas, TX 75217

Onsite

University degree in technical writing, English, journalism, or communications
Native-level proficiency in English, both verbal and written
Strong working knowledge of all Adobe Creative Cloud applications, including InDesign, Photoshop, Acrobat Pro, and Illustrator
Strong working knowledge of all Microsoft Office applications
Familiar with content development for instructional material
Technically oriented; understand, articulate and be able to write technical subjects
Exceptional professional written and oral communication skills
Analyze content/needs; structure and design curricula
Experience working with complex concepts and translating them into concise, clear language
Ability to quickly grasp complex technical concepts and make them easily understandable
Take a raw copy of a document, format, and organize the document
Research, prepare and edit complex technical documents
Experience in creating high-quality documentation with attention to formatting, voice, and audience
Able to work under the pressures of deadlines and other demands
Experience handling multiple projects, and time management to meet project deadlines
Teamwork and collaboration skills
This position is not a remote position
Experience content/needs; structure and design curricula