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Aiml Engineer Machine Learning Engineer

Dallas,TX

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795 Aiml Engineer Machine Learning Engineer jobs in Dallas,TX

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires Travel

  • Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
  • Basic mechanical aptitude and interest in technical systems
  • Willingness to learn and read electrical and mechanical schematics
  • Ability to diagnose and solve basic technical problems
  • Strong written and verbal communication skills
  • Basic working knowledge of Microsoft Excel, Word, and PowerPoint
  • Valid driver's license and ability to obtain a passport, if required for travel
  • Ability to meet on-site safety, environmental, and customer requirements
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Regional Planner - Industrial Engineering/Maintenance

Advanced Technology Services

Dallas, TX 75221

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree required in Industrial Engineering
  • 1-3 years of maintenance scheduling / planning experience and/or 5 – 10 years as a machine repair technician, or equivalent combination of both
  • Familiar with industrial manufacturing environment
  • Electrical/mechanical aptitude
  • Proficiency with computers, Computerized Maintenance Management Systems, and applications including Microsoft Office
  • Excellent verbal communication, facilitation, and presentation skills
  • Ability to build and maintain positive, professional relationships
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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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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
  • 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
  • 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
  • Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
  • Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
  • Experience supporting efforts to address production issues through troubleshooting applications and systems.
  • Experience articulating technical challenges and solutions.
  • Basic understanding of cloud technologies and tools.
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Senior Engineering Operations Technician, Data Center Engineering & Operations

Amazon Data Services

Wilmer, TX 75172

Paid Relocation to Wilmer, TX

~ 21 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Ability to travel to or commute between data center locations as needed
  • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
  • Travel frequency will vary based on business needs and operational status of assigned facility
  • Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.
  • 2+ years of Microsoft Office products and applications experience
  • 2+ years of electrical and mechanical experience
  • Ability to work on a flexible schedule including days, nights, and/or weekends.
  • • Willingness to and demonstrated ability to work in the following physical conditions with reasonable accommodations:
  • Regularly lift and/or move up to 39 pounds independently
  • Participate in group lifts for 40+ pounds
  • Maintain balance and perform construction tasks while on a ladder
  • Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
  • Work in an environment requiring provided ear protection
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Engineer/Sr Engineer, IT - Dynatrace

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
  • Proficiency with the following technologies:
  • Deployment Technologies: Kubernetes, Docker
  • Source Control: GitHub, Azure DevOps
  • Cloud Providers such as Azure and AWS
  • Core Dynatrace Skills: DQL, Grail, Active Gate, OneAgent Management, APM, & DEM.
  • Dynatrace Certifications Dynatrace Associate preferred Dynatrace Professional.
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Director Data Engineering

McKesson

Irving, TX 75039

~ 22 min Onsite

  • 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
  • Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
  • Advanced proficiency with Databricks platform and advanced analytics workflows
  • Extensive experience with BI development, administration, and enterprise deployment
  • Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
  • Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
  • Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
  • Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
  • Experience in regulated industries (healthcare, financial services, manufacturing)
  • Master's. Degree in Computer Science, Engineering or equivalent.
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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 8 hours ago
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Automation Engineer , RME Regional SSD-FC

Amazon Stores

Irving, TX 75060

Flexible Schedule
New, Posted 1 day ago
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Director, AI Engineer

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
  • Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
  • Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
  • Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
  • Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
  • Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
  • Travel as needed
  • 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 (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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