738 Ai Machine Learning Data Engineer jobs in Dallas,TX

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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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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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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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Senior Engineer, IT Data

American Airlines

Fort Worth, TX 76101

RemoteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
3+ years experience building data solutions, using agile and DevOps practices
3 years experience using SQL, Python and Spark
3 years experience with Cloud technologies (especially Microsoft Azure)
Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers.

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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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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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